The Parallel & Distributed Computing Lab (PDCL) conducts research at the intersection of high performance computing and big data processing. Our group works in the broad area of Parallel & Distributed ...

ENFABRICA Elastic Memory Fabric System (EMFASYS) hardware and software solution improves the compute efficiencies in ...

Enfabrica Corporation, an industry leader in high-performance networking silicon for artificial intelligence (AI) and ...

This is the second entry in an insideHPC series that delves into in-memory computing and the designs, hardware, and software behind it. This series, compiled in a complete Guide, also covers five ways ...

Because IMDGs cache application data in RAM and apply massively parallel pro­cessing (MPP) across a distributed cluster of server nodes, they provide a simple and cost-effective path to dramatically ...

In-memory computing is enabling the bank to develop a web-scale architecture using a 2,000-node in-memory data grid that can handle up to 1.5PB of data and the required transaction volume.

There are a few ways to run Gaussian 16 on the cluster: serial (only one computing core), shared-memory parallel (using the cores in parallel on one node), distributed-memory parallel (using cores on ...

A new technical paper titled “Computing high-degree polynomial gradients in memory” was published by researchers at UCSB, HP Labs, Forschungszentrum Juelich GmbH, and RWTH Aachen University. Abstract ...