S
Seth Copen Goldstein
Researcher at Carnegie Mellon University
Publications - 149
Citations - 8730
Seth Copen Goldstein is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Compiler & Modular design. The author has an hindex of 42, co-authored 147 publications receiving 8510 citations. Previous affiliations of Seth Copen Goldstein include University of California, Berkeley & Microsoft.
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Proceedings ArticleDOI
Active messages: a mechanism for integrated communication and computation
TL;DR: It is shown that active messages are sufficient to implement the dynamically scheduled languages for which message driven machines were designed and, with this mechanism, latency tolerance becomes a programming/compiling concern.
Journal ArticleDOI
Magnetic Resonant Coupling As a Potential Means for Wireless Power Transfer to Multiple Small Receivers
TL;DR: In this paper, the magnetic resonance coupling between source and load coils is achieved with lumped capacitors terminating the coils, and a circuit model is developed to describe the system with a single receiver and extended to describe two receivers.
Journal ArticleDOI
PipeRench: a reconfigurable architecture and compiler
TL;DR: The authors describe the PipeRench architecture and how it solves some of the pre-existing problems with FPGA architectures, such as logic granularity, configuration time, forward compatibility, hard constraints and compilation time.
Proceedings ArticleDOI
Parallel programming in Split-C
Arvind Krishnamurthy,David E. Culler,Andrea C. Dusseau,Seth Copen Goldstein,Steven S. Lumetta,T. von Eicken,Katherine Yelick +6 more
TL;DR: The authors introduce the Split-C language, a parallel extension of C intended for high performance programming on distributed memory multiprocessors, and demonstrate the use of the language in optimizing parallel programs.
Proceedings ArticleDOI
PipeRench: a co/processor for streaming multimedia acceleration
Seth Copen Goldstein,Herman Schmit,M. Moe,Mihai Budiu,Srihari Cadambi,R. Reed Taylor,Ronald Laufer +6 more
TL;DR: A novel reconfigurable fabric architecture, PipeRench, optimized to accelerate these types of computations, which enables fast, robust compilers, supports forward compatibility, and virtualizes configurations, thus removing the fixed size constraint present in other fabrics.