Optimizing performance on modern HPC systems: Learning from simple kernel benchmarks

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

Volumn 91, Issue , 2006, Pages 273-287

  Hager, Georg ^a   Zeiser, T ^a   Treibig, J ^a   Wellein, G ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33845417959     PISSN: 16122909     EISSN: None     Source Type: Book Series    
DOI: 10.1007/3-540-31768-6_23     Document Type: Article

References (12)

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2. Oliker L et al. (2003) Evaluation of cache-based superscalar and cacheless vector architectures for scientific computations. In: Proc. SC2003, Phoenix, AZ
3. Deserno F et al. (2004) Performance of scientific applications on modern supercomputers. In: Wagner S et al. (eds) High Performance Computing in Science and Engineering. Munich 2004. Transactions of the Second Joint HLRB and KONWIHR Status and Result Workshop. Springer-Verlag, Berlin, Heidelberg
4. Oliker L et al. (2004) Scientific computations on modern parallel vector systems. In: Proc. SC2004, Pittsburgh, PA
5. Pohl T et al. (2004) Performance evaluation of parallel large-scale Lattice Boltzmann applications on three supercomputing architectures. In: Proc. SC2004, Pittsburgh, PA
6. Schönauer W (2000) Scientific Supercomputing. Self-edition, Karlsruhe
7. Jalby W, Lemuet C, Touati S An effective memory operations optimization technique for vector loops on Itanium2 processors. Concurrency Comput Pract Exp (accepted for publication)
8. Intel Corp. (2004) Itanium2™ programming and optimization reference manual. Intel http://developer.intel.com/
9. Bast H, Levinthal D, Intel Corp. Private communication
10. Intel Corp. (2004) IA-32 optimization reference manual. Intel http://developer.intel.com/
11. Rightmark Memory Analyzer http://cpu.rightmark.org/products/rmma.shtml
12. AMD Athlon processor, x86 code optimization guide 86-98 http://www.amd.com/us-en/assets/content_type/white_papers_and_tech_docs/ 22007.pdf