Near fine grain parallel processing using a multiprocessor with MAPLE

Near Fine Grain Parallel Processing Using Static Scheduling on Single Chip Multiprocessors

With the increase of the number of transistors integrated on a chip, efficient use of transistors and scalable improvement of effective performance of a processor are getting important problems. However, it has been thought that popular superscalar and VLIW would have difficulty to obtain scalable improvement of effective performance in future because of the limitation of instruction level para...

Evaluation of Single Chip Multiprocessor Core Architecture with Near Fine Grain Parallel Processing

Coarse-Grain Task Parallel Processing Using the OpenMP Backend of the OSCAR Multigrain Parallelizing Compiler

This paper describes automatic coarse grain parallel processing on a shared memory multiprocessor system using a newly developed OpenMP backend of OSCAR multigrain parallelizing compiler for from single chip multiprocessor to a high performance multiprocessor and a heterogeneous supercomputer cluster. OSCAR multigrain parallelizing compiler exploits coarse grain task parallelism and near ne gra...

Cache Optimization for Coarse Grain Task Parallel Processing Using Inter-Array Padding

The wide use of multiprocessor system has been making automatic parallelizing compilers more important. To improve the performance of multiprocessor system more by compiler, multigrain parallelization is important. In multigrain parallelization, coarse grain task parallelism among loops and subroutines and near fine grain parallelism among statements are used in addition to the traditional loop...

Experience with Fine-Grain Communication in EM-X Multiprocessor for Parallel Sparse Matrix Computation

Sparse matrix problems require a communication paradigm different from those used in conventional distributed-memory multiprocessors. We present in this paper how fine-grain communication can help obtain high performance in the experimental distributed-memory multiprocessor, EM-X, developed at ETL, which can handle fine-grain communication very efficiently. The sparse matrix kernel, Conjugate G...