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Performance Evaluation Of Selective Victim Caching Scheme Over Lru For Set Associative Caches


Performance Evaluation Of Selective Victim Caching Scheme Over Lru For Set Associative Caches
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Performance Evaluation Of Selective Victim Caching Scheme Over Lru For Set Associative Caches


Performance Evaluation Of Selective Victim Caching Scheme Over Lru For Set Associative Caches
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Author : Srinivas Reddy Mallu
language : en
Publisher:
Release Date : 2000

Performance Evaluation Of Selective Victim Caching Scheme Over Lru For Set Associative Caches written by Srinivas Reddy Mallu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Cache memory categories.




Selective Victim Caching


Selective Victim Caching
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Author : Dimitrios Stiliadis
language : en
Publisher:
Release Date : 1994

Selective Victim Caching written by Dimitrios Stiliadis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Cache memory categories.




Proceedings


Proceedings
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Author :
language : en
Publisher:
Release Date : 1998

Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Low voltage integrated circuits categories.




Selective Victim Caching


Selective Victim Caching
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Author : Dimitrios Stiliadis
language : en
Publisher:
Release Date : 1994

Selective Victim Caching written by Dimitrios Stiliadis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Cache memory categories.




Cache Performance Of Binary Search Trees And Analyzing Victim Caches


Cache Performance Of Binary Search Trees And Analyzing Victim Caches
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Author : Eric K. Lee
language : en
Publisher:
Release Date : 2005

Cache Performance Of Binary Search Trees And Analyzing Victim Caches written by Eric K. Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.




Performance Analysis Of Cache Memories


Performance Analysis Of Cache Memories
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Author : Gururaj Seshagiri Rao
language : en
Publisher:
Release Date : 1975

Performance Analysis Of Cache Memories written by Gururaj Seshagiri Rao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Computer storage devices categories.




Using Dead Blocks As A Virtual Victim Cache


Using Dead Blocks As A Virtual Victim Cache
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Author :
language : en
Publisher:
Release Date : 2009

Using Dead Blocks As A Virtual Victim Cache written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Cache memory categories.


Caches mitigate the long memory latency that limits the performance of modern processors. However, caches can be quite inefficient. On average, a cache block in a 2MB L2 cache is dead 59% of the time, i.e., it will not be referenced again before it is evicted. Increasing cache efficiency can improve performance by reducing miss rate, or alternately, improve power and energy by allowing a smaller cache with the same miss rate. This paper proposes using predicted dead blocks to hold blocks evicted from other sets. When these evicted blocks are referenced again, the access can be satisfied from the other set, avoiding a costly access to main memory. The pool of predicted dead blocks can be thought of as a virtual victim cache. A virtual victim cache in a 16-way set associative 2MB L2 cache reduces misses by 11.7%, yields an average speedup of 12.5% and improves cache efficiency by 15% on average, where cache efficiency is defined as the average time during which cache blocks contain live information. This virtual victim cache yields a lower average miss rate than a fully-associative LRU cache of the same capacity. Using an adaptive insertion policy, the virtual victim cache gives an average speedup of 17.3% over the baseline 2MB cache. The virtual victim cache significantly reduces cache misses in multi-threaded workloads. For a 2MB cache accessed simultaneously by four threads, the virtual victim cache reduces misses by 12.9% and increases cache efficiency by 16% on average Alternately, a 1.7MB virtual victim cache achieves about the same performance as a larger 2MB L2 cache, reducing the number of SRAM cells required by 16%, thus maintaining performance while reducing power and area.



Performance Analysis Of An Associative Caching Scheme For Client Server Databases


Performance Analysis Of An Associative Caching Scheme For Client Server Databases
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Author : Stanford University. Computer Science Department
language : en
Publisher:
Release Date : 1997

Performance Analysis Of An Associative Caching Scheme For Client Server Databases written by Stanford University. Computer Science Department and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.


This paper presents a detailed performance study of the associative caching scheme proposed in "A Predicate-based Caching Scheme for Client-Server Database Architectures," The VLDB Journal, Jan 1996. A client cache dynamically loads query results in the course of transaction execution, and formulates a description of its current contents. Predicate-based reasoning is used on the cache description to examine and maintain the cache. The benefits of the scheme include local evaluation of associative queries, at the cost of maintaining the cached query results through update notifications >From the server. In this paper, we investigate through detailed simulation the behavior of this caching scheme for a client-server database under different workloads and contention profiles. An optimized version of our basic caching scheme is also proposed and studied. We examine both read-only and update transactions, with the effect of updates on the caching performance as our primary focus. Using an extended version of a standard database benchmark, we identify scenarios where these caching schemes improve the system performance and scalability, as compared to systems without client-side caching. Our results demonstrate that associative caching can be beneficial even for moderately high update activity.