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home · events · thesis defenses · 2001-2002 · 
 

Thesis Defense - Cooksey

 
12/18/2001
9:00am-11:00am
ECOT 831

Content Sensitive Data Prefetching
Robert N. Cooksey
Computer Science PhD Candidate

Memory latency is currently the largest limitation for high-performance computers. Memory prefetching attempts to reduce the memory latency by moving data from memory closer to the processor. Different prefetching mechanisms tend to model memory access patterns. For example, a stride prefetcher assumes that programs will access memory in a linear pattern. In applications that utilize a large number of dynamically allocated objects, the memory access patterns can become irregular, and difficult to model.

This thesis proposes content sensitive data prefetching, a novel method of data prefetching that attempts to overcome the problems introduced by the irregular memory access patterns seen in pointer-intensive applications, thus allowing prefetches of pointer chasing references. Content sensitive prefetching works by examining the content of data as it is moved from memory to the caches. Data values that are likely to be addresses are then translated and prefetch requests are issued for the candidate addresses. Content sensitive data prefetching has the capability to prefetch sparse data structures, including graphs, lists and trees. This scheme is hardware-only and it requires no additional structures beyond the requirements for a traditional stride-based hardware prefetcher.

A cycle-accurate simulator that includes both an out-of-order processor model and a detailed memory model is used to validate the effectiveness of the content prefetcher from both a functional and a performance perspective. It will be shown that given the proper address prediction heuristic, both accurate and timely prefetches can be initiated in the context of pointer-intensive applications.

Committee: Dirk Grunwald, Associate Professor (Chair)
John Bennett, Professor
Daniel Connors, Assistant Professor
Amer Diwan, Assistant Professor
Andrew Pleszkun, Department of Electrical and Computer Engineering

 
See also:
Department of Computer Science
College of Engineering and Applied Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
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