Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kevin Tew
dblp:37/3390
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 1 first-authorSystems, architecture and hardware · 1Computer networks · 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
2 papers |
Parallel and multicore computing · 65% Cloud and datacenter computing · 21% Distributed systems · 14% | |
| Software engineering, system software, and programming languages
1 paper |
Runtime systems and virtual machines · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Runtime systems and virtual machines
parallel runtime systems |
0.1 | 1 | 2010 | Back to the futures: incremental parallelization of existing sequential runtime systems · OOPSLA 2010 |
Parallel and multicore computing › parallel programming models
futures |
0.1 | 1 | 2010 | Back to the futures: incremental parallelization of existing sequential runtime systems · OOPSLA 2010 |
Parallel and multicore computing
parallel programming models |
0.1 | 1 | 2010 | Back to the futures: incremental parallelization of existing sequential runtime systems · OOPSLA 2010 |
Distributed systems
grid computing |
0.0 | 1 | 2002 | An Enterprise-Based Grid Resource Management System · HPDC 2002 |
Cloud and datacenter computing › resource management
grid resource management |
0.0 | 1 | 2002 | An Enterprise-Based Grid Resource Management System · HPDC 2002 |
Cloud and datacenter computing
resource management |
0.0 | 1 | 2002 | An Enterprise-Based Grid Resource Management System · HPDC 2002 |
Distributed systems
fault tolerance |
0.0 | 1 | 2002 | An Enterprise-Based Grid Resource Management System · HPDC 2002 |
Methods — techniques the papers use, named apart from their topics
web services · 0.0enterprise technologies · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Places: adding message-passing parallelism to racketabstractPlaces bring new support for message-passing parallelism to Racket. This paper gives an overview of the programming model and how we had to modify our existing, sequential runtime-system to support places. We show that the freedom to design the programming model helped us to make the implementation tractable; specifically, we avoided the conventional pain of adding just the right amount of locking to a big, legacy runtime system. The paper presents an evaluation of the design that includes both a real-world application and standard parallel benchmarks. Kevin Tew, James Swaine, Matthew Flatt, Robert Bruce Findler, Peter A. Dinda |
DLS | 1 |
| 2010 | Back to the futures: incremental parallelization of existing sequential runtime systemsabstractMany language implementations, particularly for high-level and scripting languages, are based on carefully honed runtime systems that have an internally sequential execution model. Adding support for parallelism in the usual form -- as threads that run arbitrary code in parallel -- would require a major revision or even a rewrite to add safe and efficient locking and communication. We describe an alternative approach to incremental parallelization of runtime systems. This approach can be applied inexpensively to many sequential runtime systems, and we demonstrate its effectiveness in the Racket runtime system and Parrot virtual machine. Our evaluation assesses both the performance benefits and the developer effort needed to implement our approach. We find that incremental parallelization can provide useful, scalable parallelism on commodity multicore processors at a fraction of the effort required to implement conventional parallel threads. James Swaine, Kevin Tew, Peter A. Dinda, Robert Bruce Findler, Matthew Flatt |
OOPSLA | 2 |
| 2003 | A study of the suitability of IrOBEX for high-speed exchange of large data objectsabstractThis paper demonstrates that careful tuning of the OBEX and IrLAP negotiated parameters allows OBEX to scale well for use with large data objects and high transmission rates. Due to the substantial time overhead inherent in link turnarounds, minimizing turnarounds during the transmission of a large object helps to maximize link efficiency. The IrLAP window size and OBEX packet size significantly impact the number of required turnarounds during the transmission of a large object. When these parameters are properly tuned, maximum throughput can be achieved, and OBEX performs efficiently at high data rates. Casey T. Deccio, Joseph J. Ekstrom, D. Ryan Partridge, Kevin Tew, Charles D. Knutson |
GLOBECOM | 4 |
| 2002 | An Enterprise-Based Grid Resource Management SystemabstractAs the Internet began its exponential growth into a global information environment, software was often unreliable, slow and had difficulty in interoperating with other systems. Supercomputing node counts also continue to follow high growth trends. Supercomputer and grid resource management software must mature into a reliable computational platform in much the same way that web services matured for the Internet. DOGMA The Next Generation (DOGMA-NG) improves on current resource management approaches by using tested off-the-shelf enterprise technologies to build a robust, scalable, and extensible resource management platform. Distributed web service technologies constitute the core of DOGMA-NG's design and provide fault tolerance and scalability. DOGMA-NG's use of open standard web technologies and efficient management algorithms promises to reduce management time and accommodate the growing size of future supercomputers. The use of web technologies also provides the opportunity for anew parallel programming paradigm, enterprise web services parallel programming, that also gains benefit from the scalable, robust component architecture. Quinn Snell, Kevin Tew, Joseph J. Ekstrom, Mark J. Clement |
HPDC | 2 |