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Both main memory and cache are internal, random-access memories (RAMs) that use semiconductor-based transistor circuits.
With this holistic view of sustainability in mind, we provide evaluations of the environmental impacts of memory and cache options for Parsec and SPEC multi-program workloads.
In particular, expansions of memory and cache can potentially increase manufacturing costs beyond what can be recovered through use phase advantages for reasonable usage patterns.
Unlike traditional design space exploration tools that are majorly concerned with optimizations in processor, memory and cache structures with a fixed on-chip architecture, Prenaut explores architectures that have not been considered in symmetric multiprocessing domain.
CRPG students research such topics as the development of new algorithmic approaches for large-scale GPU (Graphical Processor Unit) utilization, elimination of cache bottlenecks on massive-core node architectures, and design of physics algorithms to exploit hardware vector operations while minimizing memory and cache latencies.
At any rate the improvement of memory and cache handling and other performance tweaks is always welcome.
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Likewise, virtual memory and caches give good memory-access times on the average, but sometimes they are slow.
This simulator provides detailed information about memory, bus, and cache behavior for the SHARP system as mapped onto the Smart Memories architecture.
The paper shows the accuracy and the granularity of phase and phase-sequence prediction as well as its uses in dynamic data packing, memory remapping, and cache resizing.
This architecture also introduced the possibility to balance 64 KB of fast on-chip memory between the shared memory and L1 cache using two possible configurations, 48 KB for the shared memory and 16 KB for L1 cache, or 16 KB for the shared memory and 48 for L1 cache.
In this paper we propose an integrated memory and disk cache for multimedia clients.
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