RAT: A methodology for predicting performance in application design migration to FPGAs

Proceedings - 1st International Workshop on High-Performance Reconfigurable Computing Technology and Applications, HPRCTA'07, Held in Conjunction with SC07

Volumn , Issue , 2007, Pages 1-10

  Holland, Brian ^a   Nagarajan, Karthik ^a   Conger, Chris ^a   Jacobs, Adam ^a   George, Alan D ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION DESIGN; DEGREE OF ACCURACY; DESIGN REQUIREMENTS; PROBABILITY OF SUCCESS; RECONFIGURABLE COMPUTER; REQUIRED PRECISION; RISK OF FAILURE; SYSTEM UTILIZATION;

COMPUTER HARDWARE; DESIGN; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); RATS;

RECONFIGURABLE HARDWARE;

EID: 63349111979     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1328554.1328560     Document Type: Conference Paper

References (16)

1. N. Azizi, I. Kuon, A. Egier, A. Darabiha, and P. Chow. Reconfigurable molecular dynamics simulator. In Proc IEEE 12th Symp. Field-Programmable Custom Computing Machines (FCCM), pages 197-206, Napa, CA, Apr 20-23 2004.
2. P. Banerjee, D. Bagchi, M. Haldar, A. Nayak, V. Kim, and R. Uribe. Automated conversion of floating point matlab programs into fixed point fpga, based hardware design. In Proc IEEE 11th Symp. Field-Programmable Custom Computing Machines (FCCM), pages 263-264, Napa, CA, Apr 8-11 2003.
3. K. Bondalapati and V. Prasanna. Dynamic precision management for loop computations on reconfigurable architectures. In Proc IEEE 7th Symp. Field-Programmable Custom Computing Machines (FCCM), pages 249-258, Napa, CA, Apr 21-23 1999.
4. D. Buell. Programming reconfigurable computers: Language lessons learned. In Reconfigurable System Summer Institute (RSSI), Urbana, IL, Jul 12-13 2006.
5. M. Chang and S. Hauck. Precis: A design-time precision analysis tool. In Proc IEEE 10th Symp. Field-Programmable Custom Computing Machines (FCCM) pages 229-238, Napa, CA, Apr 22-24 2002.
6. L. Cordova and D. Buell. An approach to scalable molecular dynamics simulation using supercomputing adaptive processing elements. In Proc. IEEE Int. Conf. Field Programmable Logic and Applications (FPL), pages 711-712, Aug 24-26 2005.
7. D. Culler, R. Karp, D. Patterson, A. Sahay, K. E. Schauser, E. Santos, R. Subramonian, and T. von Eicken. Logp: Towards a realistic model of parallel computation. In Proc ACM 4th Symp. Principles and Practice of Parallel Programming, pages 1-12, San Diego, CA, May 19-22 1993.
8. S. Fortune and J. Wyllie. Parallelism in random access machines. In Proc ACM 10th Symp. Theory of Computing, pages 114-118, San Diego, CA, May 01-03 1978.
9. A. Gaffar, O. Mencer, W. Luk, P. Cheung, and N. Shirazi. Floating-point bitwidth analysis via automatic differentiation. In Proc IEEE Int. Conf. Field-Programmable Technology (FPT), pages 158-165, Hong Kong, China, Dec 16-18 2002.
10. Y. Gu, T. VanCourt, and M. Herbordt. Accelerating molecular dynamics simulations with configurable circuits. In Proc. IEE Computers and Digital Techniques, volume 153, pages 189-195, May 2 2006.
11. Z. Guo, W. Najjar, F. Vahid, and K. Vissers. A quantitative analysis of the speedup factors of fpgas over processors. In Proc ACM 16th Symp. Field-Programmable Gate Arrays (FPGA), pages 162-170, Monterey, CA, Feb 22-24 2004.
12. T. Jeger, R, Enzler, D. Cottet, and G. Troster. The performance prediction model - a methodology for estimating the performance of an fpga implementation of an algorithm, technical report, Electronics Lab, Swiss Federal Inst, of Technology (ETH) Zurich, 2000.
13. V. Kindratenko and D. Pointer. A case study in porting a production scientific supercomputing application to a reconfigurable computer. In Proc IEEE 14th Symp. Field-Programmable Custom Computing Machines (FCCM), pages 13-22, Napa, CA, Apr 24-26 2006.
14. D.-U. Lee, A. Gaffar, O. Mencer, and W. Luk. Optimizing hardware function evaluation. IEEE Trans. Computers, 54(12):1520-1531, Dec. 2005.
15. M. Smith and G. Peterson. Parallel application performance on shared high performance reconfigurable computing resources. Performance Evaluation, 60:107-125, May 2005. (Pubitemid 40304990)
16. C. Steffen. Parameterization of algorithms and fpga accelerators to predict performance. In Reconfigurable System Summer Institute (RSSI), Urbana, IL, Jul 17-20 2007.