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1. Methods for Creating and Exploiting Data Locality
Sammanfattning : The gap between processor speed and memory latency has led to the use of caches in the memory systems of modern computers. Programs must use the caches efficiently and exploit data locality for maximum performance. LÄS MER
2. Statistical Compression Cache Designs
Sammanfattning : On-chip caches are essential as they bridge the growing speed-gap between off-chip memory and processors. To this end, processing cores are sacrificed for more cache space in the chip's real estate, possibly affecting the cache access time and power dissipation. LÄS MER
3. A WCET Analysis Method for Pipelined Microprocessors with Cache Memories
Sammanfattning : When constructing real-time systems, safe and tight estimations of the worst case execution time (WCET) of programs are needed. To obtain tight estimations, a common approach is to do path and timing analyses. LÄS MER
4. Realizing Next-Generation Data Centers via Software-Defined “Hardware” Infrastructures and Resource Disaggregation : Exploiting your cache
Sammanfattning : The cloud is evolving due to additional demands introduced by new technological advancements and the wide movement toward digitalization. Moreover, next-generation Data Centers (DCs) and clouds are expected (and need) to become cheaper, more efficient, and capable of offering more predictable services. LÄS MER
5. Data Access Techniques for Enhanced Energy Efficiency and Performance in In-order Pipelines
Sammanfattning : Energy efficiency is one of the key metrics in the design of a widerange of processor types. For example, battery powered devices, whichare growing in numbers every day, require energy efficient processorsto be able to operate for a useful period of time. LÄS MER