Arrays of DNA segments have become a standard tool in molecular biology, but arrays of proteins have been more difficult to develop. Several manufacturers now offer off-the-shelf protein arrays for a ...

Using CUDA for array arithmetic can dramatically speed up computations by leveraging the massively parallel nature of modern GPUs. In this example, we demonstrated how to use CUDA with pycuda to ...

In the previous article, “Massively Parallel Processing Arrays (MPPAs) for Embedded HD Video and Imaging – Part 1”, we provided an overview of the various types of architectures used to meet the needs ...

Abstract: The work is devoted to the methods of parallel processing of spectral data of astronomical objects, which is an important aspect in many scientific fields, in particular in astronomy when ...

Abstract: In this letter, parallel micro-LED arrays with numbers of 1×1, 1×2, 2×2 and 2×3 were fabricated and the p-electrode patterns of arrays were optimized. The results show that both the light ...

Outshining ASICs, DSP and FPGA for many video and imaging applications, each processor in an MPPA is strictly encapsulated, accessing only its own code and memory. Editor's Note: This is the first of ...

This repository demonstrates how to run an embarrassingly parallel simulation using R on a Slurm-based high-performance computing (HPC) cluster-specifically, the UCI HPC3 system. The simulation splits ...

Apple's staff gets a little testy when challenged regarding the company's reliance on parallel ATA (or just plain ATA) for its Xserve servers and Xserve RAID storage arrays. ATA is unquestionably long ...