Published: 02 March 2015 High-throughput RNA profiling via up-front sample parallelization Azeet Narayan, Ananth Bommakanti & Abhijit A Patel Nature Methods 12, 343–346 (2015) Cite this article ...

The parallelization affects the two-locus-score calculation, which is predominant in terms of computation time. We obtain perfect speedup, that is, the computation time decreases exactly by a ...

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 ...

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 ...

NEC believes that its automatic parallelization technology is the first to be brought to a stage of practical use. This is supported by the fact that NEC has succeeded in operating this technology on ...

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 ...

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 ...

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 ...

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