As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

The graph below shows the total number of publications each year in Parallel Computing and NUMA System Optimization. References [1] An effective scheme for memory congestion reduction in multi ...

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 ...

Yet lock-free algorithms don't come with very satisfying theoretical guarantees: All they promise is that at least one core will make progress on its computational task in a fixed span of time.

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 ...

In this video from the European R Users Meeting, Henrik Bengtsson from the University of California San Francisco presents: A Future for R: Parallel and Distributed Processing in R for Everyone. The ...

He has made deep and wide-ranging contributions to many areas of parallel computing including programming languages, compilers, and runtime systems for multicore, manycore and distributed computers.