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 ...

Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming. Cross-listed with Comp_Sci 358; REQUIRED TEXT: Ananth Grama, ...

And example of a parallel file system is the Lustre® file system. Both scale-out and scale-up systems can use these parallel file systems. Over the next few weeks this series on in-memory computing ...

In addition, in-memory computing solutions are built on distributed architectures so they can utilize parallel processing to further speed the platform versus single node, disk-based database ...

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 ...

This hierarchical computing will be distributed locally and run serial up and down the line, so it is not, in the strict way that we are talking about it, distributed computing across the whole. But ...

We discuss how our work could enable even higher-performance systems after co-designing algorithms to exploit massively parallel gradient computation.” Find the technical paper here. Published ...

Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming. Cross-listed with Comp_Sci 358; REQUIRED TEXT: Ananth Grama, ...