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

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

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 ...

More sophisticated in-memory computing platforms can co-locate compute with the data to run fast, distributed analytics across the data set without impacting transaction processing.

Hadoop with MapReduce combines some of the best features of both distributed computing and concurrent programming with a hefty dose of parallel programming thrown in for good measure. Chuck Lam, ...

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 ...

Penn State. "Graphene-based memory resistors show promise for brain-based computing." ScienceDaily. ScienceDaily, 29 October 2020. <www.sciencedaily.com / releases / 2020 / 10 / 201029082210.htm>.