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IEEEPACT
1999
IEEE
13 years 12 months ago
Memory System Support for Image Processing
Image processing applications tend to access their data non-sequentially and reuse that data infrequently. As a result, they tend to perform poorly on conventional memory systems ...
Lixin Zhang, John B. Carter, Wilson C. Hsieh, Sall...
CF
2005
ACM
13 years 9 months ago
Sparse matrix storage revisited
In this paper, we consider alternate ways of storing a sparse matrix and their effect on computational speed. They involve keeping both the indices and the non-zero elements in t...
Malik Silva
SIGMETRICS
1992
ACM
128views Hardware» more  SIGMETRICS 1992»
13 years 11 months ago
MemSpy: Analyzing Memory System Bottlenecks in Programs
To cope with the increasing difference between processor and main memory speeds, modern computer systems use deep memory hierarchies. In the presence of such hierarchies, the perf...
Margaret Martonosi, Anoop Gupta, Thomas E. Anderso...
DATE
2006
IEEE
93views Hardware» more  DATE 2006»
14 years 1 months ago
Restructuring field layouts for embedded memory systems
In many computer systems with large data computations, the delay of memory access is one of the major performance bottlenecks. In this paper, we propose an enhanced field remappi...
Keoncheol Shin, Jungeun Kim, Seonggun Kim, Hwansoo...
HIPC
2007
Springer
14 years 1 months ago
Self-optimization of Performance-per-Watt for Interleaved Memory Systems
- With the increased complexity of platforms coupled with data centers’ servers sprawl, power consumption is reaching unsustainable limits. Memory is an important target for plat...
Bithika Khargharia, Salim Hariri, Mazin S. Yousif