While domain-specific HPC software packages continue to thrive and are vital to many
scientific communities, a general purpose high-productivity GPU cluster programming model …

Energy-efficient computing uses power management techniques such as frequency scaling
to save energy. Implementing energy-efficient techniques on large-scale computing systems …

While both the database and high-performance computing (HPC) communities utilize
lossless compression methods to minimize floating-point data size, a disconnect persists …

The SYCL standard promises to enable high productivity in heterogeneous programming of
a broad range of parallel devices, including multicore CPUs, GPUs, and FPGAs. Its modern …

Runtime systems can significantly reduce the cognitive complexity of scientific applications,
narrowing the gap between systems engineering and domain science in HPC. One of the …

Lossless data compression is a promising software approach for reducing the bandwidth
requirements of scientific applications on accelerator clusters without introducing …

Today digital revolution is having a dramatic impact on the pharmaceutical industry and the
entire healthcare system. The implementation of machine learning, extreme-scale computer …

High-Performance Computing (HPC) is one of the strategic priorities for research and
innovation worldwide due to its relevance for industrial and scientific applications. We …

Message Passing Interface (MPI) is a well-known standard for programming distributed and
HPC systems. While the community has been continuously improving MPI to address the …

Providing convenient APIs and notations for data parallelism which remain accessible for
programmers while still providing good performance has been a long-term goal of …