This leads us to one of the basic questions you need to ask yourself before you start a parallelization scheme. Q.Can the different processes in my program run on separate blocks of memory (i.e. data) ...

OpenMP performs parallelization by using a master thread to fork a specified number of worker threads, and then divides the task between the threads. Allocated by the runtime environment, the ...

New parallelization technique boosts computers' ability to model biological systems Date: June 10, 2011 Source: North Carolina State University Summary: Researchers have developed a new technique ...

October 13, 2009 by Doug Black Doug Eadline over at Cluster Monkey has the inside skinny on some auto parallelization technology from Russian company Optimitech that you can bolt on to gcc/gfortran ...

Electric Cloud has accelerated the software production management field today with improvements to two key products: ElectricAccelerator and ElectricCommander 3.5. ElectricAccelerator boasts a new ...

Parallelization techniques are essential for optimizing hardware performance, especially in AI workloads. Both TPUs and GPUs support pipeline and tensor parallelization, but their effectiveness ...

Print head parallelization, which involves using multiple print heads, is a promising solution to speed limitations in 3D printing. This method can significantly boost printing efficiency and ...

In this video from SC16, Manuel Arenaz from Appentra presents: LLVM-Based Tool for Guided Parallelization with OpenMP. Parallware is a novel LLVM-Based Software Technology for Classification of ...

For faster queries, PostgreSQL 11 offers the option, disabled by default, to perform just-in-time (JIT) compilation on some query expressions, using the LLVM compiler framework. JIT compilation is ...

RaNNC (Rapid Neural Network Connector), automatic parallelization middleware for deep learning developed jointly by Data-driven Intelligent System Research Center (DIRECT), the National Institute ...