Selective cache ways: on-demand cache resource allocation
Proceedings of the 32nd annual ACM/IEEE international symposium on Microarchitecture
Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
Reconfigurable caches and their application to media processing
Proceedings of the 27th annual international symposium on Computer architecture
Managing multi-configuration hardware via dynamic working set analysis
ISCA '02 Proceedings of the 29th annual international symposium on Computer architecture
Automatically characterizing large scale program behavior
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
An adaptive, non-uniform cache structure for wire-delay dominated on-chip caches
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
A highly configurable cache architecture for embedded systems
Proceedings of the 30th annual international symposium on Computer architecture
Exploiting Choice in Resizable Cache Design to Optimize Deep-Submicron Processor Energy-Delay
HPCA '02 Proceedings of the 8th International Symposium on High-Performance Computer Architecture
Static energy reduction techniques for microprocessor caches
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on the 2001 international conference on computer design (ICCD)
Comparing Program Phase Detection Techniques
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Proceedings of the 20th annual international conference on Supercomputing
Proceedings of the 39th Annual IEEE/ACM International Symposium on Microarchitecture
A dynamically tunable memory hierarchy
IEEE Transactions on Computers
| Hi-index | 0.00 |
The optimal size of a large on-chip cache can be different for different programs: at some point, the reduction of cache misses achieved when increasing cache size hits diminishing returns, while the higher cache latency hurts performance. This paper presents the Amorphous Cache (AC), a reconfigurable L2 on-chip cache aimed at improving performance as well as reducing energy consumption. AC is composed of heterogeneous sub-caches as opposed to common caches using homogenous subcaches. The sub-caches are turned off depending on the application workload to conserve power and minimize latencies. A novel reconfiguration algorithm based on Basic Block Vectors is proposed to recognize program phases, and a learning mechanism is used to select the appropriate cache configuration for each program phase. We compare our reconfigurable cache with existing proposals of adaptive and non-adaptive caches. Our results show that the combination of AC and the novel reconfiguration algorithm provides the best power consumption and performance. For example, on average, it reduces the cache access latency by 55.8%, the cache dynamic energy by 46.5%, and the cache leakage power by 49.3% with respect to a non-adaptive cache.