I've been covering various scientific programs the past few months, but sometimes it's hard to find a package that does what you need. In those cases, you need to go ahead and write your own code.

Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

EuroMPI has issued its Call for Submissions. The aim of this conference is to bring together all of the stakeholders involved in developments and applications related to the Message Passing Interface ...

OpenMP.org has posted the slides and audio from a day-long tutorial on Hybrid MPI and OpenMP Parallel Programming from SC13. OpenMP is the de facto standard for writing parallel applications for ...

In this paper we consider a class of parallel machine scheduling problems and their associated set-partitioning formulations. We show that the tightness of the linear programming relaxation of these ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

Partitioning can provide a number of benefits to a sharding system, including faster query execution. Let’s see how it works. In a previous post, I described a sharding system to scale throughput and ...