Result 1 to 20 of 21 total
Auto-tuning for energy usage in scientific applications. (English)
Alexander, Michael (ed.) et al., Euro-Par 2011: Parallel processing workshops. CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29‒September 2, 2011. Revised selected papers, Part II. Berlin: Springer (ISBN 978-3-642-29739-7/pbk). Lecture Notes in Computer Science 7156, 178-187 (2012).
1
Reducing energy usage with memory and computation-aware dynamic frequency scaling. (English)
Jeannot, Emmanuel (ed.) et al., Euro-Par 2011 parallel processing. 17th international conference, Euro-Par 2011, Bordeaux, France, August 29 ‒ September 2, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-23399-9/pbk). Lecture Notes in Computer Science 6852, 79-90 (2011).
2
Reducing energy usage with memory and computation-aware dynamic frequency scaling (English)
Euro-Par (1), 79-90 (2011).
3
An idiom-finding tool for increasing productivity of accelerators (English)
ICS, 202-212 (2011).
4
PSnAP: accurate synthetic address streams through memory profiles. (English)
Gao, Guang R. (ed.) et al., Languages and compilers for parallel computing. 22nd international workshop, LCPC 2009, Newark, DE, USA, October 8‒10, 2009. Revised selected papers. Berlin: Springer (ISBN 978-3-642-13373-2/pbk). Lecture Notes in Computer Science 5898, 353-367 (2010).
5
PEBIL: efficient static binary instrumentation for linux (English)
ISPASS, 175-183 (2010).
6
PIR: pmac’s idiom recognizer (English)
ICPP Workshops, 189-196 (2010).
7
PSINS: An open source event tracer and execution simulator for MPI applications. (English)
Sips, Henk (ed.) et al., Euro-Par 2009 ‒ parallel processing. 15th international Euro-Par conference, Delft, The Netherlands, August 25‒28, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-03868-6/pbk). Lecture Notes in Computer Science 5704, 135-148 (2009).
8
PSINS: an open source event tracer and execution simulator for MPI applications (English)
Euro-Par, 135-148 (2009).
9
Psnap: accurate synthetic address streams through memory profiles (English)
LCPC, 353-367 (2009).
10
io-port 50361897 Dongarra, Jack;
Graybill, Robert;
Harrod, William;
Lucas, Robert F.;
Lusk, Ewing L.;
Luszczek, Piotr;
Mcmahon, Janice;
Snavely, Allan;
Vetter, Jeffrey S.;
Yelick, Katherine A.;
Alam, Sadaf R.;
Campbell, Roy L.;
Carrington, Laura;
Chen, Tzu-Yi;
Khalili, Omid;
Meredith, Jeremy S.;
Tikir, Mustafa M.
Darpa’s HPCS program- history, models, tools, languages (English)
Advances in Computers 72, 1-100 (2008).
11
Performance prediction and ranking of supercomputers (English)
Advances in Computers 72, 135-172 (2008).
12
High-frequency simulations of global seismic wave propagation using SPECFEM3D\_GLOBE on 62K processors (English)
SC, 60 (2008).
13
A genetic algorithms approach to modeling the performance of memory-bound computations (English)
SC, 47 (2007).
14
A performance prediction framework for scientific applications (English)
Future Generation Comp. Syst. 22, No. 3, 336-346 (2006).
15
How well can simple metrics represent the performance of HPC applications? (English)
SC, 48 (2005).
16
The development of classsim: a simulated learning environment to support the practicum experience for pre-service teachers (English)
ICCE, 84-92 (2005).
17
A performance prediction framework for scientific applications. (English)
Sloot, Peter M. A. (ed.) et al., Computational science ‒ ICCS 2003. International conference, Melbourne, Australia and St. Petersburg, Russia, June 2‒4, 2003. Proceedings, Part III. Berlin: Springer (ISBN 3-540-40196-2/pbk). Lecture Notes in Computer Science 2659, 926-935 (2003).
18
A performance prediction framework for scientific applications (English)
International Conference on Computational Science, 926-935 (2003).
19
Performance modeling of HPC applications (English)
PARCO, 777-784 (2003).
20
Result 1 to 20 of 21 total
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