Two major trends in high-performance computing, namely, larger numbers of cores and the
growing size of on-chip cache memory, are creating significant challenges for evaluating the …

GPU architectures are increasingly important in the multi-core era due to their high number
of parallel processors. Programming thousands of massively parallel threads is a big …

A proposed performance model for superscalar processorsconsists of 1) a component that
models the relationshipbetween instructions issued per cycle and the sizeof the instruction …

The performance of memory-bound commercial applicationssuch as databases is limited by
increasing memory latencies. Inthis paper, we show that exploiting memory-level parallelism …

A mechanistic model for out-of-order superscalar processors is developed and then applied
to the study of microarchitecture resource scaling. The model divides execution time into …

Detailed architectural simulators suffer from a long development cycle and extremely long
evaluation times. This longstanding problem is further exacerbated in the multi-core …

Performance evaluation is at the foundation of computer architecture research and
development. Contemporary microprocessors are so complex that architects cannot design …

Dynamic voltage and frequency scaling (DVFS) can make modern processors more power
and energy efficient if we can accurately predict the effect of frequency scaling on processor …

Computer and microprocessor architectures are advancing at an astounding pace.
However, increasing demands on performance coupled with a wide variety of specialized …

Fast and accurate performance and power prediction is a key challenge in co-development
of hardware and software. Traditional analytical or simulation-based approaches are often …