H
Henry Hoffman
Researcher at Massachusetts Institute of Technology
Publications - 7
Citations - 1316
Henry Hoffman is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Instructions per cycle & Program counter. The author has an hindex of 6, co-authored 7 publications receiving 1291 citations.
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Journal ArticleDOI
The Raw microprocessor: a computational fabric for software circuits and general-purpose programs
Michael Taylor,Jung Hun Kim,Jason Miller,David Wentzlaff,Fae Ghodrat,Ben Greenwald,Henry Hoffman,Paul Johnson,Jae-Wook Lee,Woo Sik Lee,A. Ma,Arvind Saraf,M. Seneski,Nathan Shnidman,Volker Strumpen,Matthew I. Frank,Saman Amarasinghe,Anant Agarwal +17 more
TL;DR: The Raw microprocessor research prototype uses a scalable instruction set architecture to attack the emerging wire-delay problem by providing a parallel, software interface to the gate, wire and pin resources of the chip.
Proceedings ArticleDOI
A 16-issue multiple-program-counter microprocessor with point-to-point scalar operand network
Michael Taylor,Jason Kim,Jason E. Miller,David Wentzlaff,Fae Ghodrat,Ben Greenwald,Henry Hoffman,Paul Johnson,Walter Lee,Arvind Saraf,Nathan Shnidman,Volker Strumpen,Saman Amarasinghe,Anant Agarwal +13 more
TL;DR: The 0.15/spl mu/m 6M microprocessor as mentioned in this paper uses 16 unique instructions per cycle and uses an on-chip point-to-point scalar operand network to transfer operands among distributed functional units.
A 16-issue multiple-program-counter microprocessor with point-to-point scalar operand network
Michael Taylor,Jason Kim,Jason E. Miller,David Wentzlaff,Fae Ghodrat,Ben Greenwald,Henry Hoffman,Paul Johnson,Walter Lee,Arvind Saraf,Nathan Shnidman,Volker Strumpen,Saman Amarasinghe,Anant Agarwal +13 more
TL;DR: This microprocessor explores an architectural solution to scalability problems in scalar operand networks by using an on-chip point-to-point scalaroperand network to transfer operands among distributed functional units.
Proceedings ArticleDOI
ATAC: Improving performance and programmability with on-chip optical networks
James Psota,Jason Miller,George Kurian,Henry Hoffman,Nathan Beckmann,Jonathan Eastep,Anant Agarwal +6 more
TL;DR: ATAC, a new manycore architecture that capitalizes on the recent advances in optics to address a number of challenges that future manycore designs will face, is introduced and Consumer Tagging is introduced, a novel programming model that leverages ATAC's strengths to provide high performance and scalability.
Seec: a framework for self-aware management of goals and constraints in computing systems (power-aware computing, accuracy-aware computing, adaptive computing, autonomic computing)
TL;DR: This thesis describes the SEEC framework and evaluates it in several case studies, demonstrating that SEEC can have a positive impact on real systems by understanding high level goals and adapting to meet those goals online.