A new framework called Falcon, developed by Unnikrishnan Cheramangalath, is revolutionizing graph analytics. This ...

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 ...

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.

In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. The ubiquity of accelerators in high-performance computing has driven programming complexity beyond the ...

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

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 ...

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 ...

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 ...

Vector Fabrics' Pareon development tool analyzes applications and delivers parallel programming recipes to deliver code optimized for multicore platforms. Vector Fabrics takes a different approach ...