Title :
A bandwidth-efficient architecture for media processing
Author :
Rixner, Scott ; Dally, William J. ; Kapasi, Ujval J. ; Khailany, Brucek ; López-Lagunas, Abelardo ; Mattson, Peter R. ; Owens, John D.
Author_Institution :
Comput. Syst. Lab., Stanford Univ., CA, USA
fDate :
30 Nov-2 Dec 1998
Abstract :
Media applications are characterized by large amounts of available parallelism, little data reuse, and a high computation to memory access ratio. While these characteristics are poorly matched to conventional microprocessor architectures, they are a good fit for modern VLSI technology with its high arithmetic capacity but limited global bandwidth. The stream programming model, in which an application is coded as streams of data records passing through computation kernels, exposes both parallelism and locality in media applications that can be exploited by VLSI architectures. The Imagine architecture supports the stream programming model by providing a bandwidth hierarchy tailored to the demands of media applications. Compared to a conventional scalar processor. Imagine reduces the global register and memory bandwidth required by typical applications by factors of 13 and 21 respectively. This bandwidth efficiency enables a single chip Imagine processor to achieve a peak performance of 16.2GFLOPS (single-precision floating point) and sustained performance of up to 8.5GFLOPS on media processing kernels
Keywords :
VLSI; microprocessor chips; parallel architectures; Imagine architecture; VLSI technology; arithmetic capacity; bandwidth-efficient architecture; media processing; microprocessor architectures; stream programming model; Arithmetic; Bandwidth; Computer architecture; Concurrent computing; Kernel; Microprocessors; Parallel processing; Parallel programming; Streaming media; Very large scale integration;
Conference_Titel :
Microarchitecture, 1998. MICRO-31. Proceedings. 31st Annual ACM/IEEE International Symposium on
Conference_Location :
Dallas, TX
Print_ISBN :
0-8186-8609-X
DOI :
10.1109/MICRO.1998.742118