Dhabaleswar Kumar (dk) Panda
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- articleOpen Access
Creating intelligent cyberinfrastructure for democratizing AI
- Dhabaleswar K. Panda
The Ohio State University Columbus Ohio USA
, - Vipin Chaudhary
Case Western Reserve University Cleveland Ohio USA
, - Eric Fosler‐Lussier
The Ohio State University Columbus Ohio USA
, - Raghu Machiraju
The Ohio State University Columbus Ohio USA
, - Amit Majumdar
San Diego Supercomputer Center Diego California USA
, - Beth Plale
Indiana University Bloomington Indiana USA
, - Rajiv Ramnath
The Ohio State University Columbus Ohio USA
, - Ponnuswamy Sadayappan
University of Utah Salt Lake City Utah USA
, - Neelima Savardekar
The Ohio State University Columbus Ohio USA
, - Karen Tomko
Ohio Supercomputer Center Columbus Ohio USA
AbstractArtificial intelligence (AI) has the potential for vast societal and economic gain; yet applications are developed in a largely ad hoc manner, lacking coherent, standardized, modular, and reusable infrastructures. The NSF‐funded Intelligent ...
- 0Citation
MetricsTotal Citations0
- Dhabaleswar K. Panda
- Article
Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data
- Pouya Kousha
https://ror.org/00rs6vg23The Ohio State University, 43210, Columbus, OH, USA
, - Qinghua Zhou
https://ror.org/00rs6vg23The Ohio State University, 43210, Columbus, OH, USA
, - Hari Subramoni
https://ror.org/00rs6vg23The Ohio State University, 43210, Columbus, OH, USA
, - Dhableswar K. Panda
https://ror.org/00rs6vg23The Ohio State University, 43210, Columbus, OH, USA
Benchmarking, Measuring, and Optimizing•December 2023, pp 104-119• https://doi.org/10.1007/978-981-97-0316-6_7AbstractCapturing cross-stack profiling of communication on HPC systems at fine granularity is critical for gaining insights into the detailed performance trade-offs and interplay among various components of HPC ecosystem. To enable this, one needs to be ...
- 0Citation
MetricsTotal Citations0
- Pouya Kousha
- research-articlePublished By ACMPublished By ACM
MPI-xCCL: A Portable MPI Library over Collective Communication Libraries for Various Accelerators
- Chen-Chun Chen
The Ohio State University, United States of America
, - Kawthar Shafie Khorassani
The Ohio State University, United States of America
, - Pouya Kousha
The Ohio State University, United States of America
, - Qinghua Zhou
The Ohio State University, United States of America
, - Jinghan Yao
The Ohio State University, United States of America
, - Hari Subramoni
The Ohio State University, USA
, - Dhabaleswar K. Panda
The Ohio State University, USA
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis•November 2023, pp 847-854• https://doi.org/10.1145/3624062.3624153The evolution of high-performance computing toward diverse accelerators, including NVIDIA, AMD, Intel GPUs, and Habana Gaudi Accelerators, demands a user-friendly and efficient utilization of these technologies. While both GPU-aware MPI libraries and ...
- 1Citation
- 124
- Downloads
MetricsTotal Citations1Total Downloads124Last 12 Months124Last 6 weeks25
- Chen-Chun Chen
- research-articlePublished By ACMPublished By ACM
Democratizing HPC Access and Use with Knowledge Graphs
- Pouya Kousha
The Ohio State University, United States of America
, - Vivekananda Sathu
The Ohio State University, United States of America
, - Matthew Lieber
The Ohio State University, United States of America
, - Hari Subramoni
The Ohio State University, United States of America
, - Dhabaleswar K. Panda
The Ohio State University, United States of America
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis•November 2023, pp 243-251• https://doi.org/10.1145/3624062.3624094The field of High-Performance Computing (HPC) is undergoing rapid evolution, with an expanding and diverse user base harnessing its unparalleled computational capabilities. As the range of HPC applications grows, newcomers to the field are faced with the ...
- 0Citation
- 63
- Downloads
MetricsTotal Citations0Total Downloads63Last 12 Months63Last 6 weeks4
- Pouya Kousha
- short-paperPublished By ACMPublished By ACM
Optimizing Amber for Device-to-Device GPU Communication
- Samuel Khuvis
Ohio Supercomputer Center, USA
, - Karen Tomko
Ohio Supercomputer Center, USA
, - Scott R. Brozell
Ohio Supercomputer Center, USA
, - Chen-Chun Chen
Department of Computer Science & Engineering, Ohio State University, USA
, - Hari Subramoni
Department of Computer Science & Engineering, Ohio State University, USA
, - Dhabaleswar K. Panda
Department of Computer Science & Engineering, Ohio State University, USA
PEARC '23: Practice and Experience in Advanced Research Computing 2023: Computing for the Common Good•July 2023, pp 200-205• https://doi.org/10.1145/3569951.3597553Although direct GPU-to-GPU communication has been possible in MPI libraries for over a decade, the limited availability of compatible hardware at academic HPC centers has discouraged the development of algorithms in scientific applications that take ...
- 0Citation
- 84
- Downloads
MetricsTotal Citations0Total Downloads84Last 12 Months84Last 6 weeks3
- Samuel Khuvis
- research-articlePublished By ACMPublished By ACM
DPU-Bench: A Micro-Benchmark Suite to Measure Offload Efficiency Of SmartNICs
- Benjamin Michalowicz
The Ohio State University, USA
, - Kaushik Kandadi Suresh
The Ohio State University, USA
, - Hari Subramoni
The Ohio State University, USA
, - Dhabaleswar Panda
The Ohio State University, USA
, - Steve Poole
Los Alamos National Laboratory, USA
PEARC '23: Practice and Experience in Advanced Research Computing 2023: Computing for the Common Good•July 2023, pp 94-101• https://doi.org/10.1145/3569951.3593595Smart Network Interface Cards (SmartNIC) have experienced massive growth in popularity over the last few years such as the NVIDIA BlueField-2 Data Processing Unit (DPU). Being equipped with their own set of cores and memory allows them to perform ...
- 1Citation
- 253
- Downloads
MetricsTotal Citations1Total Downloads253Last 12 Months253Last 6 weeks22
- Benjamin Michalowicz
- research-articlePublished By ACMPublished By ACM
Enabling Reconfigurable HPC through MPI-based Inter-FPGA Communication
- Nicholas Contini
Department of Computer Science and Engineering / Network-Based Computing Laboratory, The Ohio State University, Columbus, Ohio, USA
, - Bharath Ramesh
Department of Computer Science and Engineering / Network-Based Computing Laboratory, The Ohio State University, Columbus, Ohio, United States of America
, - Kaushik Kandadi Suresh
Department of Computer Science and Engineering / Network-Based Computing Laboratory, The Ohio State University, Columbus, Ohio, USA
, - Tu Tran
Department of Computer Science and Engineering / Network-Based Computing Laboratory, The Ohio State University, Columbus, Ohio, USA
, - Ben Michalowicz
Department of Computer Science and Engineering / Network-Based Computing Laboratory, The Ohio State University, Columbus, Ohio, USA
, - Mustafa Abduljabbar
Department of Computer Science and Engineering / Network-Based Computing Laboratory, The Ohio State University, Columbus, Ohio, USA
, - Hari Subramoni
Department of Computer Science and Engineering / Network-Based Computing Laboratory, The Ohio State University, Columbus, Ohio, United States of America
, - Dhabaleswar Panda
Department of Computer Science and Engineering / Network-Based Computing Laboratory, The Ohio State University, Columbus, Ohio, United States of America
ICS '23: Proceedings of the 37th ACM International Conference on Supercomputing•June 2023, pp 477-487• https://doi.org/10.1145/3577193.3593720Modern HPC faces new challenges with the slowing of Moore's Law and the end of Dennard Scaling. Traditional computing architectures can no longer be expected to drive today's HPC loads, as shown by the adoption of heterogeneous system design leveraging ...
- 1Citation
- 226
- Downloads
MetricsTotal Citations1Total Downloads226Last 12 Months192Last 6 weeks11
- Nicholas Contini
- Article
SAI: AI-Enabled Speech Assistant Interface for Science Gateways in HPC
- Pouya Kousha
The Ohio State University, 43210, Columbus, OH, USA
, - Arpan Jain
The Ohio State University, 43210, Columbus, OH, USA
, - Ayyappa Kolli
The Ohio State University, 43210, Columbus, OH, USA
, - Matthew Lieber
The Ohio State University, 43210, Columbus, OH, USA
, - Mingzhe Han
The Ohio State University, 43210, Columbus, OH, USA
, - Nicholas Contini
The Ohio State University, 43210, Columbus, OH, USA
, - Hari Subramoni
The Ohio State University, 43210, Columbus, OH, USA
, - Dhableswar K. Panda
The Ohio State University, 43210, Columbus, OH, USA
AbstractHigh-Performance Computing (HPC) is increasingly being used in traditional scientific domains as well as emerging areas like Deep Learning (DL). This has led to a diverse set of professionals who interact with state-of-the-art HPC systems. The ...
- 0Citation
MetricsTotal Citations0
- Pouya Kousha
- research-article
Network-Assisted Noncontiguous Transfers for GPU-Aware MPI Libraries
- Kaushik Kandadi Suresh
The Ohio State University, Columbus, OH, USA
, - Kawthar Shafie Khorassani
The Ohio State University, Columbus, OH, USA
, - Chen Chun Chen
The Ohio State University, Columbus, OH, USA
, - Bharath Ramesh
The Ohio State University, Columbus, OH, USA
, - Mustafa Abduljabbar
The Ohio State University, Columbus, OH, USA
, - Aamir Shafi
The Ohio State University, Columbus, OH, USA
, - Hari Subramoni
The Ohio State University, Columbus, OH, USA
, - Dhabaleswar K. Panda
The Ohio State University, Columbus, OH, USA
IEEE Micro, Volume 43, Issue 2•March-April 2023, pp 131-139 • https://doi.org/10.1109/MM.2023.3241133The importance of graphics processing units (GPUs) in accelerating HPC applications is evident by the fact that a large number of supercomputing clusters are GPU enabled. Many of these HPC applications use message passing interface (MPI) as their ...
- 0Citation
MetricsTotal Citations0
- Kaushik Kandadi Suresh
- research-article
High Performance MPI over the Slingshot Interconnect
- Kawthar Shafie Khorassani
Department of Computer Science and Engineering, The Ohio State University, 43210, Columbus, OH, USA
, - Chen-Chun Chen
Department of Computer Science and Engineering, The Ohio State University, 43210, Columbus, OH, USA
, - Bharath Ramesh
Department of Computer Science and Engineering, The Ohio State University, 43210, Columbus, OH, USA
, - Aamir Shafi
Department of Computer Science and Engineering, The Ohio State University, 43210, Columbus, OH, USA
, - Hari Subramoni
Department of Computer Science and Engineering, The Ohio State University, 43210, Columbus, OH, USA
, - Dhabaleswar K. Panda
Department of Computer Science and Engineering, The Ohio State University, 43210, Columbus, OH, USA
Journal of Computer Science and Technology, Volume 38, Issue 1•Feb 2023, pp 128-145 • https://doi.org/10.1007/s11390-023-2907-5AbstractThe Slingshot interconnect designed by HPE/Cray is becoming more relevant in high-performance computing with its deployment on the upcoming exascale systems. In particular, it is the interconnect empowering the first exascale and highest-ranked ...
- 0Citation
MetricsTotal Citations0
- Kawthar Shafie Khorassani
- research-articlePublic AccessPublished By ACMPublished By ACM
Designing Hierarchical Multi-HCA Aware Allgather in MPI
- Tu Tran
The Ohio State University, United States of America
, - Benjamin Michalowicz
The Ohio State University, United States of America
, - Bharath Ramesh
The Ohio State University, United States of America
, - Hari Subramoni
The Ohio State University, United States of America
, - Aamir Shafi
The Ohio State University, United States of America
, - Dhabaleswar K. Panda
The Ohio State University, United States of America
ICPP Workshops '22: Workshop Proceedings of the 51st International Conference on Parallel Processing•August 2022, Article No.: 28, pp 1-10• https://doi.org/10.1145/3547276.3548524To accelerate the communication between nodes, supercomputers are now equipped with multiple network adapters per node, resulting in a ”multi-rail” network. The second and third-placed systems of the Top500 use two adapters per node; recently, the ...
- 1Citation
- 239
- Downloads
MetricsTotal Citations1Total Downloads239Last 12 Months210Last 6 weeks26
- Tu Tran
- research-articlePublished By ACMPublished By ACM
High Performance MPI over the Slingshot Interconnect: Early Experiences
- Kawthar Shafie Khorassani
Department of Computer Science and Engineering / The Ohio State University / NBCL, The Ohio State University, USA
, - Chen Chun Chen
Department of Computer Science and Engineering / The Ohio State University / NBCL, The Ohio State University, USA
, - Bharath Ramesh
Department of Computer Science and Engineering / The Ohio State University / NBCL, The Ohio State University, USA
, - Aamir Shafi
Department of Computer Science and Engineering / The Ohio State University / NBCL, The Ohio State University, USA
, - Hari Subramoni
Department of Computer Science and Engineering / The Ohio State University / NBCL, The Ohio State University, USA
, - Dhabaleswar Panda
Department of Computer Science and Engineering / The Ohio State University / NBCL, The Ohio State University, USA
PEARC '22: Practice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You•July 2022, Article No.: 15, pp 1-7• https://doi.org/10.1145/3491418.3530773The Slingshot interconnect designed by HPE/Cray is becoming more relevant in High-Performance Computing with its deployment on the upcoming exascale systems. In particular, it is the interconnect empowering the first exascale and highest-ranked ...
- 7Citation
- 1,237
- Downloads
MetricsTotal Citations7Total Downloads1,237Last 12 Months796Last 6 weeks105
- Kawthar Shafie Khorassani
- Article
Hy-Fi: Hybrid Five-Dimensional Parallel DNN Training on High-Performance GPU Clusters
- Arpan Jain
The Ohio State University, 43210, Columbus, OH, USA
, - Aamir Shafi
The Ohio State University, 43210, Columbus, OH, USA
, - Quentin Anthony
The Ohio State University, 43210, Columbus, OH, USA
, - Pouya Kousha
The Ohio State University, 43210, Columbus, OH, USA
, - Hari Subramoni
The Ohio State University, 43210, Columbus, OH, USA
, - Dhableswar K. Panda
The Ohio State University, 43210, Columbus, OH, USA
AbstractRecent advances in High Performance Computing (HPC) enable Deep Learning (DL) models to achieve state-of-the-art performance by exploiting multiple processors. Data parallelism is a strategy that replicates the DL model on each processor, which is ...
- 0Citation
MetricsTotal Citations0
- Arpan Jain
- Article
“Hey CAI” - Conversational AI Enabled User Interface for HPC Tools
- Pouya Kousha
The Ohio State University, 43210, Columbus, OH, USA
, - Arpan Jain
The Ohio State University, 43210, Columbus, OH, USA
, - Ayyappa Kolli
The Ohio State University, 43210, Columbus, OH, USA
, - Saisree Miriyala
The Ohio State University, 43210, Columbus, OH, USA
, - Prasanna Sainath
The Ohio State University, 43210, Columbus, OH, USA
, - Hari Subramoni
The Ohio State University, 43210, Columbus, OH, USA
, - Aamir Shafi
The Ohio State University, 43210, Columbus, OH, USA
, - Dhableswar K. Panda
The Ohio State University, 43210, Columbus, OH, USA
AbstractHPC system users depend on profiling and analysis tools to obtain insights into the performance of their applications and tweak them. The complexity of modern HPC systems have necessitated advances in the associated HPC tools making them equally ...
- 1Citation
MetricsTotal Citations1
- Pouya Kousha
- Article
Correction to: “Hey CAI” - Conversational AI Enabled User Interface for HPC Tools
- Pouya Kousha
The Ohio State University, 43210, Columbus, OH, USA
, - Arpan Jain
The Ohio State University, 43210, Columbus, OH, USA
, - Ayyappa Kolli
The Ohio State University, 43210, Columbus, OH, USA
, - Saisree Miriyala
The Ohio State University, 43210, Columbus, OH, USA
, - Prasanna Sainath
The Ohio State University, 43210, Columbus, OH, USA
, - Hari Subramoni
The Ohio State University, 43210, Columbus, OH, USA
, - Aamir Shafi
The Ohio State University, 43210, Columbus, OH, USA
, - Dhableswar K. Panda
The Ohio State University, 43210, Columbus, OH, USA
In an older version of this paper, the name of the fourth author was missing. This has been corrected.
- 0Citation
MetricsTotal Citations0
- Pouya Kousha
- Article
Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters
- Qinghua Zhou
The Ohio State University, 43210, Columbus, OH, USA
, - Pouya Kousha
The Ohio State University, 43210, Columbus, OH, USA
, - Quentin Anthony
The Ohio State University, 43210, Columbus, OH, USA
, - Kawthar Shafie Khorassani
The Ohio State University, 43210, Columbus, OH, USA
, - Aamir Shafi
The Ohio State University, 43210, Columbus, OH, USA
, - Hari Subramoni
The Ohio State University, 43210, Columbus, OH, USA
, - Dhabaleswar K. Panda
The Ohio State University, 43210, Columbus, OH, USA
AbstractAs more High-Performance Computing (HPC) and Deep Learning (DL) applications are adapting to scale using GPUs, the communication of GPU-resident data is becoming vital to end-to-end application performance. Among the available MPI operations in ...
- 1Citation
MetricsTotal Citations1
- Qinghua Zhou
- research-article
Optimizing Distributed DNN Training Using CPUs and BlueField-2 DPUs
- Arpan Jain
The Ohio State University, Columbus, OH, USA
, - Nawras Alnaasan
The Ohio State University, Columbus, OH, USA
, - Aamir Shafi
The Ohio State University, Columbus, OH, USA
, - Hari Subramoni
The Ohio State University, Columbus, OH, USA
, - Dhabaleswar K. Panda
The Ohio State University, Columbus, OH, USA
The deep learning (DL) training process consists of multiple phases—data augmentation, training, and validation of the trained model. Traditionally, these phases are executed either on the central processing units or graphics processing units in a serial ...
- 1Citation
MetricsTotal Citations1
- Arpan Jain
- research-articlePublic AccessPublished By ACMPublished By ACM
INAM: Cross-stack Profiling and Analysis of Communication in MPI-based Applications
- Pouya Kousha
The Ohio State University, USA
, - Kamal Raj Sankarapandian Dayala Ganesh Ram
The Ohio State University, USA
, - Mansa Kedia
The Ohio State University, USA
, - Hari Subramoni
The Ohio State University, USA
, - Arpan Jain
The Ohio State University, USA
, - Aamir Shafi
The Ohio State University, USA
, - Dhabaleswar Panda
The Ohio State University, USA
, - Trey Dockendorf
Ohio Supercomputer Center, USA
, - Heechang Na
Ohio Supercomputer Center, USA
, - Karen Tomko
Ohio Supercomputer Center, USA
PEARC '21: Practice and Experience in Advanced Research Computing 2021: Evolution Across All Dimensions•July 2021, Article No.: 14, pp 1-11• https://doi.org/10.1145/3437359.3465582Understanding the full-stack performance trade-offs and interplay among HPC applications, MPI libraries, the communication fabric, and the job scheduler is a challenging endeavor. Unfortunately, existing profiling tools are disjoint and only focus on ...
- 9Citation
- 437
- Downloads
MetricsTotal Citations9Total Downloads437Last 12 Months191Last 6 weeks16
- Pouya Kousha
- Article
Designing a ROCm-Aware MPI Library for AMD GPUs: Early Experiences
- Kawthar Shafie Khorassani
The Ohio State University, 43210, Columbus, OH, USA
, - Jahanzeb Hashmi
The Ohio State University, 43210, Columbus, OH, USA
, - Ching-Hsiang Chu
The Ohio State University, 43210, Columbus, OH, USA
, - Chen-Chun Chen
The Ohio State University, 43210, Columbus, OH, USA
, - Hari Subramoni
The Ohio State University, 43210, Columbus, OH, USA
, - Dhabaleswar K. Panda
The Ohio State University, 43210, Columbus, OH, USA
AbstractDue to the emergence of AMD GPUs and their adoption in upcoming exascale systems (e.g. Frontier), it is pertinent to have scientific applications and communication middlewares ported and optimized for these systems. Radeon Open Compute (ROCm) ...
- 3Citation
MetricsTotal Citations3
- Kawthar Shafie Khorassani
- Article
BluesMPI: Efficient MPI Non-blocking Alltoall Offloading Designs on Modern BlueField Smart NICs
- Mohammadreza Bayatpour
The Ohio State University, Columbus, USA
, - Nick Sarkauskas
The Ohio State University, Columbus, USA
, - Hari Subramoni
The Ohio State University, Columbus, USA
, - Jahanzeb Maqbool Hashmi
The Ohio State University, Columbus, USA
, - Dhabaleswar K. Panda
The Ohio State University, Columbus, USA
AbstractIn the state-of-the-art production quality MPI (Message Passing Interface) libraries, communication progress is either performed by the main thread or a separate communication progress thread. Taking advantage of separate communication threads can ...
- 2Citation
MetricsTotal Citations2
- Mohammadreza Bayatpour
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- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner