Computer architecture simulators play an important role in advancing computer architecture
research. With wider research directions and the increased number of simulators that have …

Benchmarking has become one of the most important methods for quantitative performance
evaluation of processor and computer system designs. Benchmarking of modern …

Graphics Processing Units (GPUs) have numerous configuration and design options,
including core frequency, number of parallel compute units (CUs), and available memory …

Assessing the performance of multiprogram workloads running on multithreaded hardware
is difficult because it involves a balance between single-program performance and overall …

Architects use cycle-by-cycle simulation to evaluate design choices and understand
tradeoffs and interactions among design parameters. Efficiently exploring exponential-size …

Timing-accurate full-system multiprocessor simulations can take years because of
architecture and application complexity. Statistical sampling makes simulation-based …

Simulation has historically been the primary technique used for evaluating the performance
of new proposals in computer architecture. Speed and complexity considerations have …

Processor architects have a challenging task of evaluating a large design space consisting
of several interacting parameters and optimizations. In order to assist architects in making …

Many architectural simulation studies use instructions per cycle (IPC) to analyze
performance. In this article, we challenge the commonly held view that IPC accurately …

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