RISC microprocessors and scientific computing
Proceedings of the 1993 ACM/IEEE conference on Supercomputing
UNIX systems for modern architectures: symmetric multiprocessing and caching for kernel programmers
UNIX systems for modern architectures: symmetric multiprocessing and caching for kernel programmers
The SGI Origin: a ccNUMA highly scalable server
Proceedings of the 24th annual international symposium on Computer architecture
A comparison of automatic parallelization tools/compilers on the SGI origin 2000
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
WildFire: A Scalable Path for SMPs
HPCA '99 Proceedings of the 5th International Symposium on High Performance Computer Architecture
International Journal of High Performance Computing Applications
TreadMarks: distributed shared memory on standard workstations and operating systems
WTEC'94 Proceedings of the USENIX Winter 1994 Technical Conference on USENIX Winter 1994 Technical Conference
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One of the major challenges facing high performance computing is the daunting task of producing programs that will achieve acceptable levels of performance when run on parallel architectures. Although many organizations have been actively working in this area for some time, many programs have yet to be parallelized. Furthermore, some programs that were parallelized were done so for obsolete systems. These programs may run poorly, if at all, on the current generation of parallel computers. Therefore, a straightforward approach to parallelizing vectorizable codes is needed without introducing any changes to the algorithm or the convergence properties of the codes. Using the combination of loop-level parallelism, and RISC-based shared memory SMPs has proven to be a successful approach to solving this problem.