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Jason Kim

Researcher at Massachusetts Institute of Technology

Publications -  11
Citations -  1707

Jason Kim is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Program counter & Transgene. The author has an hindex of 8, co-authored 11 publications receiving 1676 citations. Previous affiliations of Jason Kim include Millennium Pharmaceuticals.

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Journal ArticleDOI

Baring it all to software: Raw machines

TL;DR: The most radical of the architectures that appear in this issue are Raw processors-highly parallel architectures with hundreds of very simple processors coupled to a small portion of the on-chip memory, allowing synthesis of complex operations directly in configured hardware.
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

Energy characterization of a tiled architecture processor with on-chip networks

TL;DR: This work presents the power management facilities of the 16-tile Raw microprocessor, which selectively turns on and off 48 SRAM macros, 96 functional unit clusters, 32 fetch units, and over 250 unique processor pipeline stages, all according to the needs of the computation and environment at hand.
Proceedings ArticleDOI

The RAW benchmark suite: computation structures for general purpose computing

TL;DR: The RAW benchmark suite consists of twelve programs designed to facilitate comparing, validating, and improving reconfigurable computing systems, and includes an architecture-independent compilation framework, Raw Computation Structures (RawCS), to express each algorithm's dependencies and to support automatic synthesis, partitioning, and mapping to a reconfigured computer.
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.