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 ...

Distributed computing and systems software form the critical backbone of modern digital infrastructures by enabling a network of autonomous computers to work collaboratively. This paradigm ...

2 Describe the different paradigms and architectures of parallel and distributed systems. 3 Describe the different parallelization techniques and strategies. 4 Describe the various load balancing and ...

Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability. By orchestrating multiple ...

For years, cloud computing was synonymous with centralization. That era is over. Enter: the distributed cloud.

Abstract. We consider a distributed parallel server system that consists of multiple server pools and a single customer class. We show that the minimum-expected-delay faster-server-first (MED-FSF) ...

It, too, is a library for distributed parallel computing in Python, with a built-in task scheduling system, awareness of Python data frameworks like NumPy, and the ability to scale from one ...

Quantum systems learn joint computing Date: February 24, 2021 Source: Max-Planck-Gesellschaft Summary: Researchers realize quantum-logic computer operation between two separate quantum modules in ...

Google's new "TF-Replicator" technology is meant to be drop-dead simple distributed computing for AI researchers. A key benefit of the technology can be that it takes dramatically less time to ...

Highlighting the role of quantum interconnects and addressing current technical and regulatory hurdles, this report anticipates future deployment trends over the next decade. Based on influencer ...