The microarchitecture design of a processor has been increasingly difficult due to the large
design space and time-consuming verification flow. Previously, researchers rely on prior …

GPUs have become prevalent and more general purpose, but GPU programming remains
challenging and time consuming for the majority of programmers. In addition, it is not always …

Increasing system and algorithmic complexity combined with a growing number of tunable
application parameters pose significant challenges for analytical performance modeling. We …

Power consumption has become a major constraint in the design of processors today. To
optimize a processor for energy-efficiency requires an examination of energy-performance …

Design space exploration (DSE) for microarchitecture parameters is an essential stage in
microprocessor design to explore the trade-offs among performance, power, and area …

Shared last-level caches, widely used in chip-multi-processors (CMPs), face two
fundamental limitations. First, the latency and energy of shared caches degrade as the …

Graphics processing units (GPUs) are of increasing interest because they offer massive
parallelism for high-throughput computing. While GPUs promise high peak performance …

Performance models provide the ability to predict application performance for a given set of
hardware resources and are used for capacity planning and resource management …