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Nick Y. Yang

dblp:51/2663 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
GPUs and heterogeneous computing · 100%
Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
GPUs and heterogeneous computing › heterogeneous programming models
heterogeneous multicore programming
0.112007
EXOCHI: architecture and programming environment for a heterogeneous multi-core multithreaded system · PLDI 2007
GPUs and heterogeneous computing › heterogeneous architecture
heterogeneous multicore architecture
0.012007
EXOCHI: architecture and programming environment for a heterogeneous multi-core multithreaded system · PLDI 2007

Methods — techniques the papers use, named apart from their topics

fat binary compilation · 0.1OpenMP pragma extension · 0.1
YearPublicationVenuePosition
2007 EXOCHI: architecture and programming environment for a heterogeneous multi-core multithreaded system
abstract
Future mainstream microprocessors will likely integrate specialized accelerators, such as GPUs, onto a single die to achieve better performance and power efficiency. However, it remains a keen challenge to program such a heterogeneous multicore platform, since these specialized accelerators feature ISAs and functionality that are significantly different from the general purpose CPU cores. In this paper, we present EXOCHI: (1) Exoskeleton Sequencer(EXO), an architecture to represent heterogeneous acceleratorsas ISA-based MIMD architecture resources, and a shared virtual memory heterogeneous multithreaded program execution model that tightly couples specialized accelerator cores with generalpurpose CPU cores, and (2) C for Heterogeneous Integration(CHI), an integrated C/C++ programming environment that supports accelerator-specific inline assembly and domain-specific languages. The CHI compiler extends the OpenMP pragma for heterogeneous multithreading programming, and produces a single fat binary with code sections corresponding to different instruction sets. The runtime can judiciously spread parallel computation across the heterogeneous cores to optimize performance and power.
Perry H. Wang, Jamison D. Collins, Gautham N. Chinya, Xinmin Tian, Milind Girkar, Nick Y. Yang, Guei-Yuan Lueh, Hong Wang 0003
PLDI7