RISC-V Hardware Acceleration for wireless communication” was published by researchers at TU Dresden and Centre for Tactile ...

Intel has announced major updates for its C++ and Fortran tools, updates that are aimed at making it easier for programmers to exploit thread-level and data-level parallelism in multicore processors.

However, the HPC market has the potential to grow much faster than the pool of coders who can do data-parallel programming at the level currently required to wrangle CUDA, CTM, and Cell.

TAKING VECTORIZATION FROM EXTREME TO MAINSTREAM Data-level parallelism, or vectorization, accelerates analytics exponentially by performing the same operation on different sets of data ...

Parallel Domain’s synthetic data platform consists of two modes: training and testing. When training, customers will describe high-level parameters — for example, highway driving with 50% rain ...

Pipelining and superscalar te chniques both exploit fine-grain instruction-level parallelism — pipelining by temporal means and superscalar by spatial means. Vector processing, in contrast, exploits ...

incorporating intensive thread and data-level parallelism and careful orchestration of data movement. In the grocery analogy, this addresses who will carry each item, can the heavier ones be divided ...

CPUs also have a limited ability to exploit instruction-level parallelism based on CPU width and data dependencies. These CPU performance bottlenecks are real, pervasive, and not easily resolved.

enabling two-times 8-way VLIW and up to 14,000 bits of data-level parallelism. It incorporates an advanced, deep pipeline architecture enabling operating speeds of 1.8 GHz at a 7-nm process node ...