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Communications of the ACM

Research Archive


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The Research archive provides access to all Research articles published in past issues of Communications of the ACM.

November 2016


From Communications of the ACM

Technical Perspective: FPGA Compute Acceleration is First About Energy Efficiency

"A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services" presents a research deployment of Field Programmable Gate Arrays (FPGAs) in a Microsoft Bing datacenter.


From Communications of the ACM

DianNao Family: Energy-Efficient Hardware Accelerators for Machine Learning

DianNao Family

We introduce a series of hardware accelerators (i.e., the DianNao family) designed for Machine Learning (especially neural networks), with a special emphasis on the impact of memory on accelerator design, performance, and energy…


From Communications of the ACM

A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services

A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services

We describe a medium-scale deployment of a composable, reconfigurable hardware fabric on a bed of 1,632 servers, and measure its effectiveness in accelerating the ranking component of the Bing web search engine.


From Communications of the ACM

Technical Perspective: If I Could Only Design One Circuit . . .

"DianNao Family: Energy-Efficient Hardware Accelerators for Machine Learning" shows a deep understanding of both neural net implementations and the issues in computer architecture that arise when building an accelerator for them…

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