Vicent Selfa

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Multicore processors are dominating the microprocessor market and most research work has moved to this kind of processors. Multicore research methods are still immature and evolving from the single-threaded processor ounterparts. Three main research issues must be faced when evaluating performance and energy in multicores. First, multiple simulation(More)
Prefetching significantly reduces the memory latencies of a wide range of applications and thus increases the system performance. However, as a speculative technique, prefetching may also noticeably increase the number of memory accesses, which in turns may negatively impact on the main memory bandwidth consumption, performance, and power. Main memory(More)
Multicore processors have become ubiquitous in our real life in devices like smartphones, tablets, etc. In fact, they are present in almost all segments of the computing market, from supercomputers to embedded devices. The huge market competence have lead industry and academia to develop vertiginous technological and architectural advances. The fast(More)
Shared caches have become, de facto, the common design choice in current multi-cores, ranging from embedded devices to high-performance processors. In these systems, requests from multiple applications compete for the cache resources, degrading to different extents their progress, quantified as the performance of individual applications compared to isolated(More)
Main memory is a major performance bottleneck in current chip multiprocessors. Current DRAM banks latch the last accessed row in an internal buffer, namely row buffer (RB), which allows fast subsequent accesses to that row. This throughput-oriented approach was originally designed for single-thread processors and pursues to take advantage of the spatial(More)
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