The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …

Performance modeling is an important and active area of research in high-performance
computing (HPC). It helps in better job scheduling and also improves overall performance of …

Achieving optimal program performance requires deep insight into the interaction between
hardware and software. For software developers without an in-depth background in …

The high energy costs for data movement compared to computation gives paramount
importance to data locality management in programs. Managing data locality manually is not …

Multi-core systems-on-chip are becoming state-of-the-art. Therefore, there is a need for a
fast and energy-efficient interconnect to take full advantage of the computational capabilities …

Analytic performance models are essential for understanding the performance
characteristics of loop kernels, which consume a major part of CPU cycles in computational …

Accurate and efficient methods for solving stiff ordinary differential equations (ODEs) are a
critical component of turbulent combustion simulations with finite-rate chemistry. The ODEs …

We present PPT-Multicore, an analytical model embedded in the Performance Prediction
Toolkit (PPT) to predict parallel applications' performance running on a multicore processor …

Inter-thread communication is a vital performance indicator in shared-memory systems. Prior
works on identifying inter-thread communication employed hardware simulators or binary …

Many applications have irregular behavior-eg, input-dependent solvers, irregular memory
accesses, or unbiased branches-that cannot be captured using today's automated …