Research | Communications of the ACM

From Communications of the ACM

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... Andrew Putnam, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Prashanth Gopal, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, Doug Burger
From Communications of the ACM | November 2016

From Communications of the ACM

Neural Acceleration For General-Purpose Approximate Programs

This paper describes a new approach that uses machine learning-based transformations to accelerate approximation-tolerant programs. Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger
From Communications of the ACM | January 2015

From Communications of the ACM

Looking Back and Looking Forward: Power, Performance, and Upheaval

The past 10 years have delivered two significant revolutions. Microprocessor design has been transformed — leading to multicore processors. And an entirely new... Hadi Esmaeilzadeh, Ting Cao, Xi Yang, Stephen M. Blackburn, Kathryn S. McKinley
From Communications of the ACM | July 2012

Latest Research

A Reconfigurable Fabric For Accelerating Large-Scale Datacenter Services

Neural Acceleration For General-Purpose Approximate Programs

Looking Back and Looking Forward: Power, Performance, and Upheaval