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- research-articleNovember 2024
A Road map for the Democratization of Space-Based Communications
HotNets '24: Proceedings of the 23rd ACM Workshop on Hot Topics in NetworksPages 17–24https://doi.org/10.1145/3696348.3696866The Internet today is owned, managed and controlled by a heterogeneous mix of autonomous systems. As a result, there's no one single entity that holds the "Internet kill switch". However, for emerging Low-Earth Orbit satellite Internet services, few ...
- research-articleMarch 2024
Address Scaling: Architectural Support for Fine-Grained Thread-Safe Metadata Management
- Deepanjali Mishra,
- Konstantinos Kanellopoulos,
- Ashish Panwar,
- Akshitha Sriraman,
- Vivek Seshadri,
- Onur Mutlu,
- Todd C. Mowry
IEEE Computer Architecture Letters (ICAL), Volume 23, Issue 1Pages 69–72https://doi.org/10.1109/LCA.2024.3373760In recent decades, software systems have grown significantly in size and complexity. As a result, such systems are more prone to bugs which can cause performance and correctness challenges. Using run-time monitoring tools is one approach to mitigate these ...
- research-articleAugust 2023
Peeling Back the Carbon Curtain: Carbon Optimization Challenges in Cloud Computing
HotCarbon '23: Proceedings of the 2nd Workshop on Sustainable Computer SystemsArticle No.: 8, Pages 1–7https://doi.org/10.1145/3604930.3605718The increasing carbon emissions from cloud computing requires new methods to reduce its environmental impact. We explore extending data center server lifetimes to reduce embodied carbon emissions (from hardware manufacturing), rather than operational (...
- research-articleMay 2023
Towards Improved Power Management in Cloud GPUs
IEEE Computer Architecture Letters (ICAL), Volume 22, Issue 2Pages 141–144https://doi.org/10.1109/LCA.2023.3278652As modern server GPUs are increasingly power intensive, better power management mechanisms can significantly reduce the power consumption, capital costs, and carbon emissions in large cloud datacenters. This letter uses diverse datacenter workloads to ...
- research-articleJune 2022
Thermometer: profile-guided btb replacement for data center applications
- Shixin Song,
- Tanvir Ahmed Khan,
- Sara Mahdizadeh Shahri,
- Akshitha Sriraman,
- Niranjan K Soundararajan,
- Sreenivas Subramoney,
- Daniel A. Jiménez,
- Heiner Litz,
- Baris Kasikci
ISCA '22: Proceedings of the 49th Annual International Symposium on Computer ArchitecturePages 742–756https://doi.org/10.1145/3470496.3527430Modern processors employ a decoupled frontend with Fetch Directed Instruction Prefetching (FDIP) to avoid frontend stalls in data center applications. However, the large branch footprint of data center applications precipitates frequent Branch Target ...
- research-articleOctober 2021
Twig: Profile-Guided BTB Prefetching for Data Center Applications
- Tanvir Ahmed Khan,
- Nathan Brown,
- Akshitha Sriraman,
- Niranjan K Soundararajan,
- Rakesh Kumar,
- Joseph Devietti,
- Sreenivas Subramoney,
- Gilles A Pokam,
- Heiner Litz,
- Baris Kasikci
MICRO '21: MICRO-54: 54th Annual IEEE/ACM International Symposium on MicroarchitecturePages 816–829https://doi.org/10.1145/3466752.3480124Modern data center applications have deep software stacks, with instruction footprints that are orders of magnitude larger than typical instruction cache (I-cache) sizes. To efficiently prefetch instructions into the I-cache despite large application ...
- research-articleNovember 2021
Ripple: profile-guided instruction cache replacement for data center applications
- Tanvir Ahmed Khan,
- Dexin Zhang,
- Akshitha Sriraman,
- Joseph Devietti,
- Gilles Pokam,
- Heiner Litz,
- Baris Kasikci
ISCA '21: Proceedings of the 48th Annual International Symposium on Computer ArchitecturePages 734–747https://doi.org/10.1109/ISCA52012.2021.00063Modern data center applications exhibit deep software stacks, resulting in large instruction footprints that frequently cause instruction cache misses degrading performance, cost, and energy efficiency. Although numerous mechanisms have been proposed to ...
- doctoral_thesisJanuary 2021
Enabling Hyperscale Web Services
- Akshitha Sriraman,
- Wenisch, Thomas F,
- Jeannin, Jean-Baptiste,
- Brooks, David,
- Kasikci, Baris,
- Seltzer, Margo I
AbstractModern web services such as social media, online messaging, web search, video streaming, and online banking often support billions of users, requiring data centers that scale to hundreds of thousands of servers, i.e., hyperscale. In fact, the ...
Accelerometer: Understanding Acceleration Opportunities for Data Center Overheads at Hyperscale
ASPLOS '20: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating SystemsPages 733–750https://doi.org/10.1145/3373376.3378450At global user population scale, important microservices in warehouse-scale data centers can grow to account for an enormous installed base of servers. With the end of Dennard scaling, successive server generations running these microservices exhibit ...
- research-articleJune 2019
SoftSKU: optimizing server architectures for microservice diversity @scale
ISCA '19: Proceedings of the 46th International Symposium on Computer ArchitecturePages 513–526https://doi.org/10.1145/3307650.3322227The variety and complexity of microservices in warehouse-scale data centers has grown precipitously over the last few years to support a growing user base and an evolving product portfolio. Despite accelerating microservice diversity, there is a strong ...
- ArticleOctober 2018
µtune: auto-tuned threading for OLDI microservices
OSDI'18: Proceedings of the 13th USENIX conference on Operating Systems Design and ImplementationPages 177–194Modern On-Line Data Intensive (OLDI) applications have evolved from monolithic systems to instead comprise numerous, distributed microservices interacting via Remote Procedure Calls (RPCs). Microservices face sub-millisecond (sub-ms) RPC latency goals, ...