Sökning: onr:"swepub:oai:DiVA.org:kth-341612" >
A Quantitative Appr...
A Quantitative Approach for Adopting Disaggregated Memory in HPC Systems
-
- Wahlgren, Jacob (författare)
- KTH,Beräkningsvetenskap och beräkningsteknik (CST)
-
- Schieffer, Gabin (författare)
- KTH,Beräkningsvetenskap och beräkningsteknik (CST)
-
- Gokhale, Maya (författare)
- Lawrence Livermore National Laboratory, Livermore, United States of America
-
visa fler...
-
- Peng, Ivy Bo (författare)
- KTH,Beräkningsvetenskap och beräkningsteknik (CST)
-
visa färre...
-
(creator_code:org_t)
- Association for Computing Machinery (ACM), 2023
- 2023
- Engelska.
-
Ingår i: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023. - : Association for Computing Machinery (ACM).
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Memory disaggregation has recently been adopted in data centers to improve resource utilization, motivated by cost and sustainability. Recent studies on large-scale HPC facilities have also highlighted memory underutilization. A promising and non-disruptive option for memory disaggregation is rack-scale memory pooling, where node-local memory is supplemented by shared memory pools. This work outlines the prospects and requirements for adoption and clarifies several misconceptions. We propose a quantitative method for dissecting application requirements on the memory system from the top down in three levels, moving from general, to multi-tier memory systems, and then to memory pooling. We provide a multi-level profiling tool and LBench to facilitate the quantitative approach. We evaluate a set of representative HPC workloads on an emulated platform. Our results show that prefetching activities can significantly influence memory traffic profiles. Interference in memory pooling has varied impacts on applications, depending on their access ratios to memory tiers and arithmetic intensities. Finally, in two case studies, we show the benefits of our findings at the application and system levels, achieving 50% reduction in remote access and 13% speedup in BFS, and reducing performance variation of co-located workloads in interference-aware job scheduling.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Nyckelord
- disaggregated memory
- HPC system
- multi-tier memory
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)