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Jason E. Miller

Researcher at Massachusetts Institute of Technology

Publications -  19
Citations -  1899

Jason E. Miller is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Multi-core processor & Cache. The author has an hindex of 14, co-authored 19 publications receiving 1842 citations.

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Proceedings ArticleDOI

Graphite: A distributed parallel simulator for multicores

TL;DR: This paper introduces the Graphite open-source distributed parallel multicore simulator infrastructure and demonstrates that Graphite can simulate target architectures containing over 1000 cores on ten 8-core servers with near linear speedup.
Journal ArticleDOI

Evaluation of the Raw Microprocessor: An Exposed-Wire-Delay Architecture for ILP and Streams

TL;DR: The evaluation attempts to determine the extent to which Raw succeeds in meeting its goal of serving as a more versatile, general-purpose processor, and proposes a new versatility metric that uses it to discuss the generality of Raw.
Proceedings ArticleDOI

ATAC: a 1000-core cache-coherent processor with on-chip optical network

TL;DR: ATAC, a new multicore architecture with integrated optics, and ACKwise, a novel cache coherence protocol designed to leverage ATAC's strengths are presented, showing that ATAC withACKwise out-performs a chip with conventional interconnect and cache coherent protocols.
Proceedings ArticleDOI

Application heartbeats: a generic interface for specifying program performance and goals in autonomous computing environments

TL;DR: The Applications Heartbeats interface provides a standard method for an application to directly communicate its performance and goals while allowing autonomic services access to this information, and Heartbeat-enabled applications are no longer performance black-boxes.
Proceedings ArticleDOI

A 16-issue multiple-program-counter microprocessor with point-to-point scalar operand network

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.