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FPGA'99 TABLE OF CONTENTS
Sessions:
[1]
[2]
[3]
[4]
[5]
[Panel]
[6]
[7]
[8]
[9]
[Poster Paper Abstracts]
Welcome Message
Symposium Organization
Chair: Jonathan Rose, University of Toronto
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1.1 A new high density and very low cost reprogrammable FPGA architecture [p. 3]
- Sinan Kaptanoglu, Greg Bakker, Arun Kundu, Ivan Corneillet, Actel
Corporation; Ben Ting, BTR Inc.
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1.2 Hybrid Product Term and LUT Based Architectures Using Embedded Memory
Blocks [p. 13]
- Frank Heile, Andrew Leaver, Altera Corporation
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1.3 An Innovative, Segmented High Performance FPGA Family with Variable-Grain-
Architecture and Wide-gating Functions
[p. 17]
- Om Agrawal, Herman Chang, Brad Sharpe-Geisler, Nick Schmitz, Bai Nguyen,
Jack Wong, Giap Tran, Fabiano Fontana, Bill Harding, Vantis Corporation
Chair: Margaret Marek-Sadowska, University of California, Santa Barbara
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2.1 Cut Ranking and Pruning: Enabling a General and Efficient FPGA Mapping
Solution [p. 29]
- Jason Cong, Chang Wu, University of California, Los Angeles,
Yuzheng Ding, Lucent Technologies
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2.2 Using Cluster-Based Logic Blocks and Timing-Driven Packing to Improve
FPGA Speed and Density [p. 37]
- Alexander Marquardt, Vaughn Betz, Jonathan Rose, University of Toronto
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2.3 A Methodology for Fast FPGA Floorplanning [p. 47]
- John Emmert, Dinesh Bhatia, University of Cincinatti
Chair: Tim Southgate, Altera
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3.1 FPGA Routing Architecture: Segmentation and Buffering to Optimize Speed
and Density [p. 59]
- Vaughn Betz, Jonathan Rose, University of Toronto
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3.2 Balancing Interconnect and Computation in a Reconfigurable Computing
Array (or, why you don't really want 100% LUT utilization) [p. 69]
- André DeHon, University of California, Berkeley
Chair: Mike Butts, Synopsys
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4.1 Configuration Cloning: Exploiting Regularity in Dynamic DSP Architectures
[p. 81]
- S.R. Park, W. Burleson, University of Massachusetts
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4.2 Don't Care Discovery for FPGA Configuration Compression [p. 91]
- Zhiyuan Li, Scott Hauck, Northwestern University
Chair: Brad Hutchings, Brigham Young University
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5.1 A FPGA-Based Hardware Implementation of Generalized Profile Search Using
Online Arithmetic [p. 101]
- Emeka Mosanya, Eduardo Sanchez, Swiss Federal Institute of Technology
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5.2 Procedural Texture Mapping on FPGAs [p. 112]
- Andy G. Ye, David M. Lewis, University of Toronto
Moderator: Scott Hauck, Northwestern University
Chair: Carl Ebeling, University of Washington
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6.1 HSRA: High-Speed, Hierarchical Synchronous Reconfigurable Array [p. 125]
- William Tsu, Kip Macy, Atul Joshi, Randy Huang, Norman Walker, Tony
Tung, Omid Rowhani, Varghese George, John Wawrzynek, André DeHon,
University of California, Berkeley
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6.2 A Reconfigurable Arithmetic Array for Multimedia Applications [p. 135]
- Alan Marshall, Hewlett Packard; Jean Vuillemin, Ecole Normale
Supérieure; Tony Stansfield, Igor Kostarnov, Hewlett Parkard; Brad Hutchings,
Brigham Young University
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6.3 Memory Interfacing and Instruction Specification for Reconfigurable
Processors [p. 145]
- Jeffrey A. Jacob, Paul Chow, University of Toronto
Chair: Martine Schlag, University of California, Santa Cruz
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7.1 Trading Quality for Compile Time: Ultra-Fast Placement for FPGAs [p. 157]
- Yaska Sankar, Jonathan Rose, University of Toronto
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7.2 Satisfiability-Based Layout Revisited: Detailed Routing of Complex
FPGAs Via Search-Based Boolean SAT [p. 167]
- Gi-Joon Nam, Karem A. Sakallah, University of Michigan; Rob A. Rutenbar,
Carnegie Mellon University
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7.3 Multi-Terminal Net Routing for Partial Crossbar-Based Multi-FPGA Systems
[p. 176]
- Abdel Ejnioui; University of South Florida; N. Ranganathan,
University of Texas
Chair: David Lewis, University of Toronto
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8.1 Circuit Partitioning for Dynamically Reconfigurable FPGAs [p. 187]
- Huiqun Liu, D.F. Wong, University of Texas
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8.2 Fast Compilation for Pipelined Reconfigurable Fabrics [p. 195]
- Mihai Budiu, Seth Copen Goldstein, Carnegie Mellon University
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8.3 Configuration Caching Vs Data Caching for Striped FPGAs [p. 206]
- Deepali Deshpande, Arun K. Somani, Akhilesh Tyagi, Iowa State University
Chair: Ray Andraka, Andraka Consulting Group
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9.1 String Matching on Multicontext FPGAs using Self-Reconfiguration [p. 217]
- Reetinder P.S. Sidhu, Alessandro Mei, Viktor K. Prasanna, University
of Southern California
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9.2 Reduction of Latency and Resource Usage in Bit-Level Pipelined
Data Paths for FPGAs [p. 227]
- P. Kollig, B.M. Al-Hashimi, Staffordshire University
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9.3 Exploiting FPGA-Features during the Emulation of a Fast Reactive
Embedded System [p. 235]
- Karlheinz WeiB, Thorsten Steckstor, Gernot Koch, Wolfgang Rosenstiel,
University of Tübingen
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