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A case for a working-set-based memory hierarchy
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Source Conference On Computing Frontiers archive
Proceedings of the 2nd conference on Computing frontiers table of contents
Ischia, Italy
SESSION: Track 5: supercomputing (part 2) table of contents
Pages: 252 - 261  
Year of Publication: 2005
ISBN:1-59593-019-1
Authors
Steve Carr  Michigan Technological University, Houghton, MI
Soner Önder  Michigan Technological University, Houghton, MI
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Modern microprocessor designs continue to obtain impressive performance gains through increasing clock rates and advances in the parallelism obtained via micro-architecture design. Unfortunately, corresponding improvements in memory design technology have not been realized, resulting in latencies of over 100 cycles between processors and main memory. This ever-increasing gap in speed has pushed the current memory-hierarchy approach to its limit.Traditional approaches to memory-hierarchy management have not yielded satisfactory results. Hardware solutions require more power and energy than desired and do not scale well. Compiler solutions tend to miss too many optimization opportunities because of limited compile-time knowledge of run-time behavior. This paper explores a different approach that combines both approaches by making use of the static knowledge obtained by the compiler in the dynamic decision making of the micro-architecture. We propose a memory-hierarchy design based on working sets that uses compile-time annotations regarding the working set of memory operations to guide cache placement decisionsOur experiments show that a working-set-based memory hierarchy can significantly reduce the miss rate for memory-intensive tiled kernels by limiting cross interference. The working-set-based memory hierarchy allows the compiler to tile many loops without concern for cross interference in the cache, making tile size choice easier. In addition, the compiler can more easily tailor tile choices to the separate needs of different working sets.


REFERENCES

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Collaborative Colleagues:
Steve Carr: colleagues
Soner Önder: colleagues