Welcome to the 24th ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'15). HPDC'15 follows in the long tradition of providing a high-quality, single-track forum for presenting new research results on all aspects of the design, implementation, evaluation, and application of parallel and distributed systems for high-end computing. The HPDC'15 program features seven sessions on systems, networks, and memory for high-end computing; data analytics and I/O; performance and modeling; resource management and optimizations; graphs and architectures; cloud and resource management; and accelerators and resilience. Each session consists of both full and short papers, giving a mix of novel research directions at various stages of development. Nightly social events include a reception and poster session, and the conference dinner. Awards for best paper, best talk, and best poster will be given in the concluding session on Friday. The program is complemented by an interesting set of workshops on a range of timely and related systems and application topics.
The conference program features two keynote presentations by Professor Allen D. Malony of the University of Oregon and Dr. Ewa Deelman of the University of Southern California.
Dr. Ewa Deelman is the recipient of the 4th annual HPDC Annual Achievement Award. The purpose of this award is to recognize individuals who have made long lasting, influential contributions to the foundations or practice of the field of high-performance parallel and distributed computing, to raise the awareness of these contributions, especially among the younger generation of researchers, and to improve the image and the public relations of the HPDC community. The process of selecting the winner of the award was formalized this year with an open call for nominations.
HPDC'15 is affiliated with the ACM Federated Computing Research Conference, which brings together fourteen leading computer science conferences and workshops in one place. FCRC is featuring keynotes each day on research topics of broad interest. You are welcome to stop in and visit other conferences, where space permits, and we hope you will have the opportunity to meet new people at the meals and breaks.
The HPDC'15 call for papers attracted 116 paper submissions. In the review process this year, we followed two established methods that were started in 2012: a two-round review process and an author rebuttal process. In the first round review, all papers received at least three reviews, and based on these reviews, 65 papers went on to the second round in which virtually all of them received another two or three reviews. In total, 474 reviews were generated by the 52-member Program Committee along with a number of external reviewers. For many of the 65 second-round papers, the authors submitted rebuttals. Rebuttals were carefully taken into consideration during the Program Committee deliberations as part of the selection process. On March 12-13, the Program Committee met at IBM Almaden Research Center (San Jose, CA) and made the final selection. Each paper in the second round of reviews was discussed at the meeting. At the end of the 1.5-day meeting, the Program Committee accepted 19 full papers, resulting in an acceptance rate of 16.3%. In addition, the committee accepted 11 submissions as short papers. We would like to thank all contributing authors, regardless of the results of their submissions. We are very grateful to the Program Committee members for their hard work and for providing their reviews on time, in what was a very tight review schedule and a very rigorous review process.
A Multiplatform Study of I/O Behavior on Petascale Supercomputers
- Huong Luu,
- Marianne Winslett,
- William Gropp,
- Robert Ross,
- Philip Carns,
- Kevin Harms,
- Mr Prabhat,
- Suren Byna,
- Yushu Yao
We examine the I/O behavior of thousands of supercomputing applications "in the wild," by analyzing the Darshan logs of over a million jobs representing a combined total of six years of I/O behavior across three leading high-performance computing ...
CAST: Tiering Storage for Data Analytics in the Cloud
Enterprises are increasingly moving their big data analytics to the cloud with the goal of reducing costs without sacrificing application performance. Cloud service providers offer their tenants a myriad of storage options, which while flexible, makes ...
HPC System Lifetime Story: Workload Characterization and Evolutionary Analyses on NERSC Systems
- Gonzalo Pedro Rodrigo Álvarez,
- Per-Olov Östberg,
- Erik Elmroth,
- Katie Antypas,
- Richard Gerber,
- Lavanya Ramakrishnan
High performance computing centers have traditionally served monolithic MPI applications. However, in recent years, many of the large scientific computations have included high throughput and data-intensive jobs. HPC systems have mostly used batch queue ...
In-Situ Bitmaps Generation and Efficient Data Analysis based on Bitmaps
Neither the memory capacity, memory access speeds, nor disk bandwidths are increasing at the same rate as the computing power in current and upcoming parallel machines. This has led to considerable recent research on in-situ data analytics. However, ...