VLDB 2026 Research / reviewers in the wild / expert
Nick Y. Yang
dblp:51/2663
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
GPUs and heterogeneous computing › heterogeneous programming models
heterogeneous multicore programming |
0.1 | 1 | 2007 | EXOCHI: architecture and programming environment for a heterogeneous multi-core multithreaded system · PLDI 2007 |
GPUs and heterogeneous computing › heterogeneous architecture
heterogeneous multicore architecture |
0.0 | 1 | 2007 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | EXOCHI: architecture and programming environment for a heterogeneous multi-core multithreaded systemabstractFuture 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 |
PLDI | 7 |