EDBT 2026 Demo / reviewers in the wild / expert
Craig Peterson
dblp:36/1277
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3Artificial intelligence and machine learning · 1Software engineering, systems software and programming languages · 1Graphics, computer vision, multimedia, augmented reality and games · 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 |
Electronic design automation · 46% Energy-efficient computing · 46% Interconnection networks and networks-on-chip · 6% | |
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 77% User interface design and tools · 23% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy-efficient computing
microprocessor power management |
0.0 | 1 | 2000 | EDA challenges facing future microprocessor design · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000 |
Electronic design automation › hardware verification and test
performance verification |
0.0 | 1 | 2000 | EDA challenges facing future microprocessor design · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000 |
Energy-efficient computing
power management |
0.0 | 1 | 2000 | EDA challenges facing future microprocessor design · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000 |
Electronic design automation › hardware verification and test
processor verification |
0.0 | 1 | 2000 | EDA challenges facing future microprocessor design · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2000 |
Immersive interaction
virtual reality interaction |
0.0 | 1 | 1995 | MUSE (Multidimensional User-Oriented Synthetic Environment): A New Approach to the Human-Computer Interface Using Precognitive Models of Perception · IJCAI 1995 |
Interconnection networks and networks-on-chip
interprocessor communication |
0.0 | 1 | 1990 | Supporting Systolic and Memory Communciation in iWarp · ISCA 1990 |
Parallel and multicore computing
parallel architecture |
0.0 | 1 | 1990 | Supporting Systolic and Memory Communciation in iWarp · ISCA 1990 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | EDA challenges facing future microprocessor designabstractAs microprocessor design progresses from tens of millions of transistors on a chip using 0.18-/spl mu/m process technology to approximately a billion transistors on a chip using 0.10-/spl mu/m and finer process technologies, the microprocessor designer faces unprecedented Electronic Design Automation (EDA) challenges over the future generations of microprocessors. This paper describes the changes in the design environment that will be necessary to develop increasingly complex microprocessors. In particular, the paper describes the current status and the future challenges along three important areas in a design flow: design correctness, performance verification and power management. T. Karn, Shishpal Rawat, Desmond Kirkpatrick, Rabindra K. Roy, Gregory S. Spirakis, Naveed A. Sherwani, Craig Peterson |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 7 |
| 1995 | MUSE (Multidimensional User-Oriented Synthetic Environment): A New Approach to the Human-Computer Interface Using Precognitive Models of Perception
Creve Maples, Craig Peterson |
IJCAI | 2 |
| 1990 | Building blocks for a new generation of application specific computing systemsabstractThe iWarp processor, which integrates both communication and computation functions on a single VLSI component, is described. The iWarp component and subsystems including it are powerful building blocks for constructing a new generation of application-specific computing systems. These special-purpose systems can achieve very high performance, while maintaining a high degree of flexibility to address different needs of an application. In particular, iWarp systems deliver high computation bandwidth (up to 20 GFLOPS for a 1024 cell system), as well as high communication bandwidth (320 Mbytes/s per cell). Programming these systems is assisted by modern tools such as optimizing compilers and parallel program generators.> Brent Baxter, George W. Cox, Thomas R. Gross, H. T. Kung 0001, David R. O'Hallaron, Craig Peterson, Jon A. Webb, Paul Wiley |
ASAP | 6 |
| 1990 | Supporting Systolic and Memory Communciation in iWarpabstractiWarp is a parallel architecture developed jointly by Carnegie Mellon University and Intel Corporation. The iWarp communication system supports two widely used interprocessor communication styles: memory communication and systolic communication. This paper describes the rationale, architecture, and implementation for the iWarp communication system. Shekhar Borkar, Robert S. Cohn, George W. Cox, Thomas R. Gross, H. T. Kung 0001, Monica S. Lam, Margie Levine, Brian Moore 0004, Wire Moore, Craig Peterson, Jim Susman, Jim Sutton, John Urbanski, Jon A. Webb |
ISCA | 10 |