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• W2030640282 abstract "Reducing power consumption and increasing effi- ciency is a key concern for many applications. It is well-accepted that specialization and heterogeneity are crucial strategies to improve both power and performance. Yet, how to design highly efficient processing elements while maintaining enough flexibility within a domain of applications is a fundamental question. In this paper, we present the design of a specialized Linear Algebra Core (LAC) for an important class of computational kernels, the level- 3 Basic Linear Algebra Subprograms (BLAS). We demonstrate a detailed algorithm/architecture co-design for mapping a number of level-3 BLAS operations onto the LAC.Results show that our prototype LAC achieves a performance of around 64 GFLOPS (double precision) for these operations, while consuming less than 1.3 Watts in standard 45nm CMOS technology. This is on par with a full-custom design and up to 50× and 10× better in terms of power efficiency than CPUs and GPUs." @default.
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• W2030640282 date "2012-07-01" @default.
• W2030640282 modified "2023-09-27" @default.
• W2030640282 title "A Linear Algebra Core Design for Efficient Level-3 BLAS" @default.
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• W2030640282 doi "https://doi.org/10.1109/asap.2012.18" @default.
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