The efficient mapping of program parallelism to multi-core processors is highly dependent
on the underlying architecture. This paper proposes a portable and automatic compiler …

We present an end-to-end simulation framework that is capable of simulating High-
Performance Computing (HPC) systems with hundreds of thousands of interconnected …

This paper provides a systematic comparison of various characteristics of computationally-
intensive workloads. Our analysis focuses on standard HPC benchmarks and representative …

Simulators and empirical profiling data are often used to understand how suitable a specific
hardware architecture is for an application. However, simulators can be slow, and empirical …

Performance prediction of parallel program plays key roles in many areas, such as parallel
system design, parallel program optimization, and parallel system procurement. Accurate …

We explore runtime mechanisms and policies for scheduling dynamic multi-grain parallelism
on heterogeneous multi-core processors. Heterogeneous multi-core processors integrate …

Heterogeneous multi-core processors invest the most significant portion of their transistor
budget in customized “accelerator” cores, while using a small number of conventional low …

Computers perform different applications in different ways. To characterize an application
performance into a machine, the usual method is a throughout execution of it. This work is a …

OpenMP is a de facto API for parallel programming in C/C++ and Fortran on shared memory
and distributed shared memory platforms. It is also being increasingly used with MPI to form …

Exascale computing systems will execute computationally intensive tasks on unprecedented
amounts of data. Tuning the design of such systems for a specific application or for an …