Guy Tel-Zur's Blog

 HPL Benchmark on my laptop It's the Top500 season time. I therefore tested HPL on my laptop using Intel's latest OneAPI version 2021.1.10.2261. The laptop specifications are obtained from lscpu : $ lscpu Architecture:                    x86_64 CPU op-mode(s):                  32-bit, 64-bit Byte Order:                      Little Endian Address sizes:                   39 bits physical, 48 bits virtual CPU(s):                          8 On-line CPU(s) list:     ...

Monday, March 23 rd , 2009 IGT Offices, Maskit 4, 5th Floor, Hertzliya. 14:00-14:15: Gathering 14:15-14:30: Opening - Avner & Guy 14:30-15:25: Introduction to Intel Threading Tools 15:25-15:35: Coffee Break 15:35-16:25: ExaStore® Clustered NAS System 16:25-16:35: Discussion and concluding remarks Detailed Agenda: 14:30-15:25: Introduction to Intel Threading Tools Speaker: Dr. Ami Marowka, Department of Computer Science Bar-Ilan University Abstract Intel Threading tools, Thread Profiler and Thread Checker , allow performing correctness and performance checking on multi-threaded applications running on multicore systems. The parallelization method may be based on POSIX, Windows Threads, or on OpenMP. Thread Profiler is the tool which identifies bottlenecks that limit the parallel performance of your multi-threaded application, locates synchronization delays, stalled threads, excessive blocking time, and ineffective utilization...

- Intel® Parallel Software Tools for HPC and Multi-Core Computing - Erlang for 5 nines Monday, December 8 th , 2008 IGT Offices, Maskit 4, 5th Floor, Hertzliya. 14:00-14:15: OPENING - Avner & Guy 14:15-15:00: Intel® Parallel Software Tools for HPC and Multi-Core Computing Herbert Cornelius, Director Advanced Computing Center EMEA and Alexander Supalov, Engineering Manager Intel Cluster Tools Abstract As we see Moore 's Law still continuing, more and more parallelism is introduced to all computing platforms and on all levels of integration and programming. Especially in the area of High-Performance Computing (HPC) users can entertain a combination of different hardware and software parallel architectures and programming environments. Those technologies range from vectorization and SIMD computation over shared memory multi-threading (e.g. OpenMP) to distributed memory message passing (e.g. MPI) on cluster systems. But it also puts more and more demand on software...