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Maximizing Memory Bandwidth for Streamed Computations

McKee, Sally A
Format
Thesis/Dissertation; Online
Author
McKee, Sally A
Advisor
Wulf, William
Abstract
Processor speeds are increasing much faster than memory speeds, and thus memory bandwidth is rapidly becoming the limiting performance factor for many applications, particularly those whose inner loops linearly traverse streams of vector-like data. Because they execute sustained accesses, these streaming computations are limited more by bandwidth than by latency. Examples of these kinds of programs include vector (scientific) computations, multi-media compression and decompression, encryption, signal processing, image processing, text searching, some database queries, some graphics applications, and DNA sequence matching.
Published
University of Virginia, Department of Computer Science, PHD (Doctor of Philosophy), 1995
Published Date
1995-05-31
Degree
PHD (Doctor of Philosophy)
Collection
Libra ETD Repository
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