Cache replacement algorithms have focused on man-aging caches that are in the datapath. In datapath caches, every cache miss results in a cache update. Cache up-dates are expensive because they induce cache insertion and cache eviction overheads which can be detrimental to both cache performance and cache device lifetime. Non-datapath caches, such as host-side flash caches, allow the flexibility of not having to update the cache on each miss. We propose the multi-modal adaptive replacement cache (mARC), a new cache replacement algorithm that extends the adaptive replacement cache (ARC) algorithm for non-datapath caches. Our initial trace-driven sim-ulation experiments suggest that mARC improves the cache performance over ARC while significa...
© 2016 IEEE. Hardware resources require efficient scaling because the future of computing technology...
Through taking advantage of locality in memory accesses, caching can be defined as a fundamental app...
Management of data with a time dimension increases the overhead of storage and query processing in l...
Cache replacement algorithms have focused on man-aging caches that are in the datapath. In datapath ...
Flash memory has been gaining more popularity as a substitution for magnetic disk. However, due to a...
Conventionally, caching algorithms have been designed for the datapath — the levels of memory that m...
Abstract—With the rapid development of new types of non-volatile memory (NVM), one of these technolo...
The increasing speed-gap between processor and memory and the limited memory bandwidth make last-lev...
Hybrid storage systems that consist of flash-based solid state drives (SSDs) and traditional disks a...
International audienceMemory caching is a common practice to reduce application latencies by bufferi...
Abstract—Cache replacement policies are developed to help insure optimal use of limited resources. V...
Poor cache memory management can have adverse impact on the overall system performance. In a Chip Mu...
Recent studies have shown that in highly associative caches, the perfor-mance gap between the Least ...
Despite extensive developments in improving cache hit rates, designing an optimal cache replacement ...
This thesis describes a model used to analyze the replacement decisions made by LRU and OPT (Least-R...
© 2016 IEEE. Hardware resources require efficient scaling because the future of computing technology...
Through taking advantage of locality in memory accesses, caching can be defined as a fundamental app...
Management of data with a time dimension increases the overhead of storage and query processing in l...
Cache replacement algorithms have focused on man-aging caches that are in the datapath. In datapath ...
Flash memory has been gaining more popularity as a substitution for magnetic disk. However, due to a...
Conventionally, caching algorithms have been designed for the datapath — the levels of memory that m...
Abstract—With the rapid development of new types of non-volatile memory (NVM), one of these technolo...
The increasing speed-gap between processor and memory and the limited memory bandwidth make last-lev...
Hybrid storage systems that consist of flash-based solid state drives (SSDs) and traditional disks a...
International audienceMemory caching is a common practice to reduce application latencies by bufferi...
Abstract—Cache replacement policies are developed to help insure optimal use of limited resources. V...
Poor cache memory management can have adverse impact on the overall system performance. In a Chip Mu...
Recent studies have shown that in highly associative caches, the perfor-mance gap between the Least ...
Despite extensive developments in improving cache hit rates, designing an optimal cache replacement ...
This thesis describes a model used to analyze the replacement decisions made by LRU and OPT (Least-R...
© 2016 IEEE. Hardware resources require efficient scaling because the future of computing technology...
Through taking advantage of locality in memory accesses, caching can be defined as a fundamental app...
Management of data with a time dimension increases the overhead of storage and query processing in l...