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 ...

These efforts are playing a pivotal role in enhancing the performance of applications ranging from high-performance scientific simulations to real-time data processing in distributed systems.

PARALLEL AND DISTRIBUTED SYSTEMS Welcome at the website of the research group parallel and distributed systems at the Departement of Mathematics and Computer Science, University of Münster, Germany.

Hadoop Distributed File System that provides high-throughput access to application data Hadoop YARN for job scheduling and cluster resource management Hadoop MapReduce for parallel processing of big ...

Journaling is a widely used technique to increase file system robustness against metadata and/or data corruptions. While the overhead of journaling can be masked by the page cache for small-scale ...

AWS recently announced a distributed map for Step Functions, a solution for large-scale parallel data processing. Optimized for S3, the new feature of the AWS orchestration service targets ...

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 ...

Dr. Hoefler’s research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also ...