A design methodology for domain-optimized power-efficient supercomputing

As power has become the pre-eminent design constraint for future HPC systems, computational efficiency is being emphasized over simply peak performance. Recently, static benchmark codes have been used to find a power efficient architecture. Unfortunately, because compilers generate sub-optimal code,...

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Vydané v:Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis s. 1 - 12
Hlavní autori: Mohiyuddin, Marghoob, Murphy, Mark, Oliker, Leonid, Shalf, John, Wawrzynek, John, Williams, Samuel
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: New York, NY, USA ACM 14.11.2009
Edícia:ACM Conferences
Predmet:
Codes
Computer architecture
Computer systems organization > Architectures > Distributed architectures > Grid computing
Computer systems organization > Architectures > Parallel architectures > Multicore architectures
Computer systems organization > Architectures > Serial architectures > Superscalar architectures
Computing methodologies > Modeling and simulation > Simulation types and techniques > Massively parallel and high-performance simulations
Costs
Energy efficiency
General and reference > Cross-computing tools and techniques > Design
General and reference > Cross-computing tools and techniques > Performance
Hardware
Hardware > Electronic design automation > Modeling and parameter extraction
Kernel
Optimization
Software
Software and its engineering > Software organization and properties > Software system structures > Distributed systems organizing principles > Grid computing
System analysis and design
Tuning
ISBN:1605587443, 9781605587448
ISSN:2167-4329
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Popis
Shrnutí:As power has become the pre-eminent design constraint for future HPC systems, computational efficiency is being emphasized over simply peak performance. Recently, static benchmark codes have been used to find a power efficient architecture. Unfortunately, because compilers generate sub-optimal code, benchmark performance can be a poor indicator of the performance potential of architecture design points. Therefore, we present hardware/software cotuning as a novel approach for system design, in which traditional architecture space exploration is tightly coupled with software auto-tuning for delivering substantial improvements in area and power efficiency. We demonstrate the proposed methodology by exploring the parameter space of a Tensilica-based multi-processor running three of the most heavily used kernels in scientific computing, each with widely varying micro-architectural requirements: sparse matrix vector multiplication, stencil-based computations, and general matrix-matrix multiplication. Results demonstrate that co-tuning significantly improves hardware area and energy efficiency -- a key driver for next generation of HPC system design.
ISBN:1605587443
9781605587448
ISSN:2167-4329
DOI:10.1145/1654059.1654072