学术研究 » 案例分析/白皮书
案例分析/白皮书
目前已发表的超过50份学术研究论文介绍和强调了BEEcube系统的广泛应用上的技术,其中包括多核计算机结构、无线通信、100Gbps+ 网络解决方案、高清视频处理、信号情报、雷达/声纳阵列、生物信息、数据挖掘、医疗成像等等。
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- ParaLearn: A Massively Parallel, Scalable System for Learning Interaction Networks on FPGAs, by Narges Bani Asadi, Garry P. Nolan and Wing H. Wong of Stanford University with John Wawrzynek, Christopher W. Fletcher and Greg Gibeling of University of California, Berkeley
- Best Student Paper award at the ACM International Conference on Supercomputing (ICS'10): BEE-based collaboration with Stanford, led by John Wawrzynek and Garry Nolan, has won the Best Student Paper award at the ACM International Conference on Supercomputing (ICS'10) This effort utilized the BWRC Berkeley Emulation Engine to rapidly learn Baysean networks in systems biology, as described by Garry in a recent lunchtime seminar, and demonstrated at the last BWRC retreat.
- Base Calling in DNA Pyrosequencing with Reconfigurable Bayesian Network, by Mingjie Lin and Yaling Ma of Stanford University, RECONFIG '09: Proceedings of the 2009 international conference on reconfigurable computing and FPGA's, December 2009
- Implementing a High-Performance Multi-threaded Microprocessor: A Case Study in High-Level Design and Validation, by Eric S. chung and James C. Hoe of Carnegie Mellon University, MEMOCODE '09: Proceedings of the 7th IEEE/ACM International conference on formal methods and models for co-design, July 2009.
- Internet-in-a-Box: Emulating Datacenter Network Architectures using FPGAs, by Jonathan D. Ellithorpe, Zhangxi Tan, and Randy Katz of University of California at Berkeley, DAC '09: Proceedings of the 46th annual Design Automation Conference, July 2009.
- ProtoFlex: Towards Scalable, Full-System Multiprocessor Simulations Using FPGAs, by Eric S. Chung, Michael K. Papamichael, Eriko Nurvitadhi, James C. hoe, Ken Mai and Babak Falsafi of Carnegie Mellon University, Transactions on Reconfigurable Technology and Systems (TRETS), Volume 2 Issue 2, June 2009.
- Performance and Power of Cache-Based Reconfigurable Computing, by Andrew Putnam, Susan Eggers, Dave Bennet, Eric Dellinger, Jeff Mason, Henry Styles, Prasanna Sundararajan and Ralph Wittig of University of Washington in collaboration with Xilinx, ISCA '09: Proceedings of the 36th annual international symposium on computer architecture, June 2009.
- Accelerating Monte Carlo Based SSTA using FPGA, by Jason Cong, Karthik Gururaj, Wei Jiang, Bin Liu, Kirill Minkovich, Bo Yuan and Yi Zhou of University of California at Los Angeles.
- A Message-Passing Hardware/Software Co-Simulation Environment for Reconfigurable Computing Systems, by Manuel Saldana, Emanuel Ramalho and Paul Chow of University of Toronto, International Journal of Reconfigurable Computing, Volume 2009, January, 2009.
- A Multi-FPGA Application-Specific Architecture for Accelerating a Floating Point Fourier Integral Operator, by Jason Lee, Lesley Shannon, Matthew J. Yedlin, and Gary F. Margrave of Simon Fraser University of British Columbia and University of Calgary, ASAP '08: Proceedings of the 2008 international conference of application specific systems, architectures and processors, July 2008.
- RAMP: Research Accelerator for Multiple Processors, by John Wawrzynek, David Patterson, Mark Oskin, Shih-Lien Lu, Christoforos Kozyrakis, James C. Hoe, Derek Chiou, and Krste Asanovic of University of California at Berkeley with University of Washington, Stanford University, Intel, Carnegie Mellon University, University of Texas, and the MAssachusetts Institute of Technology, IEE Micro, Volume 27 Issue 2, December 2007.
