A software-based approach to achieve high performance within a power budget often involves dynamic voltage and frequency scaling (DVFS). Consequently, accurately predicting the power consumption of an application at different ...

Abstract—HPC systems contain a wide variety of heterogeneous computing resources, ranging from general-purpose CPUs to specialized accelerators. Porting sequential applications to such systems for achieving high performance ...

We present a composable workflow to enable highly-productive heterogeneous computing on FPGAs. The workflow consists of a trio of static analysis and transformation tools: (1) a whole-program, source-to-source translator ...

In cloud computing, the use of databases, particularly the MySQL database system, is a common practice. While the MySQL database system has advantages such as consistency and transaction support, some software architects ...

MPI+X is the de facto standard for programming applications on HPC clusters. The performance and scalability on such systems is limited by the communication cost on different number of processes and compute nodes. Therefore, ...

This paper presents iDO, a compiler-directed approach to failure atomicity with nonvolatile memory. Unlike most prior work, which instruments each store of persistent data for redo or undo logging, the iDO compiler identifies ...

As high-performance computing (HPC) moves towards the exascale era, large-scale scientific simulations are generating enormous datasets. A variety of techniques (e.g., in-situ methods, data sampling, and compression) have ...

Exponential increases in complexity and scale make variability a growing threat to sustaining HPC performance at exascale. Performance variability in HPC I/O is common, acute, and formidable. We take the first step towards ...

Computer hardware, software, numerical algorithms, and science and engineering applications are traced for a half century from the author's perspective.