GpuTejas: A parallel simulator for GPU architectures

2014 21st International Conference on High Performance Computing, HiPC 2014

Volumn , Issue , 2014, Pages

  Malhotra, Geetika ^a   Goel, Seep ^a   Sarangi, Smruti R ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Cycle level; GPU; NVIDIA; Parallel Architectural Simulation; Simulator; Tesla; Timing model

Indexed keywords

BENCHMARKING; PARALLEL ARCHITECTURES; PROGRAM PROCESSORS; SIMULATORS;

ARCHITECTURAL SIMULATION; CYCLE-LEVEL; GPU; NVIDIA; TESLA; TIMING MODELING;

COMPUTER SOFTWARE;

EID: 84977857181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HiPC.2014.7116897     Document Type: Conference Paper

References (23)

1. J. D. Owens, D. Luebke, N. Govindaraju, M. Harris, J. Krüger, A. E. Lefohn, and T. J. Purcell, "A survey of general-purpose computation on graphics hardware," in Computer Graphics Forum, Vol. 26, 2007.
2. E. Lindholm, J. Nickolls, S. Oberman, and J. Montrym, "Nvidia tesla: A unified graphics and computing architecture," Micro, IEEE, Vol. 28, no. 2, pp. 39-55, March 2008.
3. Nvidia, "Nvidias next generation cuda compute architecture, fermi," 2009.
4. -, "Nvidias next generation cuda compute architecture, kepler gk 110," 2012.
5. AMD. (2011) HD 6900 Series Instruction Set Architecture. [Online]. Available: http://developer.amd.com/wordpress/media/2012/10/AMDHD6900SeriesInstructionSetArchitecture.pdf
6. A. Bakhoda, G. L. Yuan, W. W. Fung, H. Wong, and T. M. Aamodt, "Analyzing cuda workloads using a detailed GPU simulator," in ISPASS, 2009.
7. G. F. Diamos, A. R. Kerr, S. Yalamanchili, and N. Clark, "Ocelot: A dynamic optimization framework for bulk-synchronous applications in heterogeneous systems," in PACT, 2010.
8. S. Collange, M. Daumas, D. Defour, and D. Parello, "Barra: A parallel functional simulator for gpgpu," in MASCOTS, 2010.
9. V. del Barrio, C. Gonzalez, J. Roca, A. Fernandez, and R. Espasa, "Attila: a cycle-level execution-driven simulator for modern GPU architectures," in ISPASS, March 2006.
10. R. Ubal, B. Jang, P. Mistry, D. Schaa, and D. Kaeli, "Multi2sim: A simulation framework for cpu-GPU computing," in PACT, 2012.
11. H. Kim, J. Lee, N. B. Lakshminarayana, J. Sim, J. Lim, and T. Pho, "Macsim: A cpu-GPU heterogeneous simulation framework," Georgia Institute of Technology, 2012.
12. J. Power, J. Hestness, M. Orr, M. Hill, and D. Wood, "Gem5-GPU: A heterogeneous cpu-GPU simulator," Computer Architecture Letters (accepted), 2014.
13. J. Meng and K. Skadron, "A reconfigurable simulator for large-scale heterogeneous multicore architectures," in ISPASS, 2011.
14. V. Zakharenko, T. Aamodt, and A. Moshovos, "Characterizing the performance benefits of fused cpu/GPU systems using fusionsim," in DATE, 2013.
15. S. Lee and W. W. Ro, "Parallel GPU architecture simulation framework exploiting work allocation unit parallelism," in ISPASS, 2013.
16. G. Malhotra, P. Aggarwal, A. Sagar, and S. R. Sarangi, "ParTejas: A parallel simulator for multicore processors," in ISPASS, 2014.
17. R. A. Vivanco and N. J. Pizzi, "Scientific computing with java and c++: a case study using functional magnetic resonance neuroimages," Software: Practice and Experience, Vol. 35, no. 3, pp. 237-254, 2005.
18. J. M. Bull, L. A. Smith, L. Pottage, and R. Freeman, "Benchmarking java against c and fortran for scientific applications," in ACM ISCOPE, 2001.
19. J. E. Moreira, S. P. Midkiff, M. Gupta, P. V. Artigas, M. Snir, and R. D. Lawrence, "Java programming for highperformance numerical computing," IBM Systems Journal, Vol. 39, no. 1, pp. 21-56, 2000.
20. N. Binkert, B. Beckmann, G. Black, S. K. Reinhardt, A. Saidi, A. Basu, J. Hestness, D. R. Hower, T. Krishna, S. Sardashti et al., "The gem5 simulator," ACM SIGARCH Computer Architecture News, Vol. 39, no. 2, pp. 1-7, 2011.
21. P. Aggarwal and S. Sarangi, "Lock-free and wait-free slot scheduling algorithms," in IPDPS, 2013.
22. S. Che, M. Boyer, J. Meng, D. Tarjan, J. Sheaffer, S.-H. Lee, and K. Skadron, "Rodinia: A benchmark suite for heterogeneous computing," in IISWC, 2009.
23. Nvidia, "Nvidia cuda toolkit v5.5," 2013.