Title :
A high performance machine paradigm based on auto-sequencing data memory
Author :
Hartenstein, R.W. ; Hirschbiel, A.G. ; Riedmüller, M. ; Schmidt, K. ; Weber, M.
Author_Institution :
Kaiserslautern Univ., Germany
Abstract :
Introduces a novel (non-von Neumann) programming paradigm of parallel computation featuring a much more efficient implementation of parallel algorithms, as well as a novel (hardware) machine paradigm efficiently supporting such implementations. Acceleration factors of up to more than 2000 have been obtained experimentally on an example architecture for a number of important applications, although using a hardware being more simple than that of a single RISC microprocessor. Due to its auto-sequencing data memory the machine principles are partly related to the organization of associative memories or systems. The machine organization and its most important hardware features are briefly introduced. The programming paradigm and its flexibility is illustrated by a few application examples
Keywords :
memory architecture; parallel architectures; parallel programming; associative memories; auto-sequencing data memory; machine paradigm; non-von Neumann; parallel algorithms; parallel computation; Acceleration; Computer architecture; Concurrent computing; Hardware; Parallel algorithms; Parallel processing; Parallel programming; Reduced instruction set computing; Throughput; VLIW;
Conference_Titel :
System Sciences, 1991. Proceedings of the Twenty-Fourth Annual Hawaii International Conference on
Conference_Location :
Kauai, HI
DOI :
10.1109/HICSS.1991.183886