ICS

By the end of the decade we expect over 30 billion intelligent devices connected to the Internet, resulting in unprecedented amounts of data. At the same time, scaling of today's foundational memory technologies will significantly slow down. We will ...

Running multiple parallel programs on multi-socket multi-core machines using commodity hardware is increasingly common for data analytics and cluster workloads. These workloads exhibit bursty behavior and are rarely tuned to specific hardware. This ...

Exascale computing will be as much about solving problems with the least power/energy as about solving them quickly. In the future, systems are likely to be over-provisioned with processors and will rely on hardware-enforced power bounds to allow ...

The majority of auto-tuning research in HPC to date has focused on improving the performance of a single objective function. More recently, interest has grown in optimizing multiple objective functions simultaneously, for example balancing the trade-off ...

As systems sizes increase to exascale and beyond, there is a need to enhance the system software to meet the needs and challenges of applications. The evolutionary versus revolutionary debate can be set aside by providing system software that ...

As supercomputers progress to exascale computing and beyond, the number of nodes in a supercomputer is continuing to increase, and the number of cores within a node is dramatically increasing. The amount of parallelism argues for hierarchical approaches ...

Current HPC system software lacks support for emerging application deployment scenarios that combine one or more simulations with in situ analytics, sometimes called multi-component or multi-enclave applications. This paper presents an initial design ...

The move towards high-performance computing (HPC) applications comprised of coupled codes and the need to dramatically reduce data movement is leading to a reexamination of time-sharing vs. space-sharing in HPC systems. In this paper, we discuss and ...

Lightweight kernels (LWK) have been in use on the compute nodes of supercomputers for decades. Although many high-end systems now run Linux, interest in options and alternatives has increased in the last couple of years. Future extreme-scale systems ...