Titlebook: High Performance Memory Systems; Haldun Hadimioglu,Jeffrey Kuskin,Ashwini Nanda Book 2004 Springer Science+Business Media New York 2004 Ha

Ambulatory

Memory Issues in Hardware-Supported Software Safetyarge software systems are expensive to develop and are riddled with errors. Certain types of defects (e.g., those related to memory access, concurrency, and security) are particularly difficult to locate and can have devastating consequences. We believe it is time to explore using some of the increa

Gingivitis

Performance of Memory Expansion Technology (MXT)system with memory expansion to present a . memory larger than the physically available memory. This chapter provides an overview of the memory compression architecture, the OS support, and an analysis of the performance impact of memory compression while running multiple benchmarks. Results show th

ALLEY

Hearten

Array Merging: A Technique for Improving Cache and TLB Behavioruggests a systematic approach to array merging, a simple but highly effective optimization with a beneficial effect on the memory hierarchy. The run time trade-off can be kept small while improving on cache and particularly on misses in the translation look-aside buffer (TLB). One of the SPEC95 benc

商谈

MAPLE

An Analysis of Scalar Memory Accesses in Embedded and Multimedia Systemson their static predictability and memory footprint, and managed with various compiler-controlled techniques supported by instruction set architecture extensions or with traditional hardware control..In line with that vision, this paper describes our work in progress related to the memory performanc

燕麦

Bandwidth-Based Prefetching for Constant-Stride Arrayshat has not previously been dealt with (limited off-chip bandwidth) and show its effect on prefetching. Our new algorithm is designed to cope with this hardware limitation. The new algorithm generates prefetches that are more efficient than the standard algorithm because it avoids cache conflicts an

BET

Performance Potential of Effective Address Prediction of Load Instructionsed by the latencies to resolve the source operands of the load, to compute its effective address, and to fetch the load’s data from caches or the main memory. This chapter examines the performance potential of hiding a load’s data fetch latency using effective address prediction. By predicting the e

Arthr-

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