Instruction Level Parallelism (ILP) is a way of improving the performance of a processor by executing operations simultaneously. Modern processors generally have an abundance of execution ...

Few technologies have a more interesting history than parallel computing, in which multiple processors in a single system combine to tackle a problem. A chronicle of events in parallel computing says ...

Rising development costs motivate companies to design fewer systems-on-chip, but to make each one they do design more flexible and programmable. Doing so makes it possible to reuse designs to take ...

Modern processor architectures invariably enable the parallel execution of several operations per clock cycle. Configurable processors such as the Improv Jazz VLIW DSP allow the user to modify and ...

Processors recently have added explicit parallelism in the form of multiple cores, and processor road maps are showing the number of cores increasing exponentially over time. This is in addition to ...

You only need to validate one core of a CMP design. So if that core is simpler, validation is easier. And you have to worry about the rest of the logic no matter what your core design is. You dont get ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...

In this video, Torsten Hoefler from ETH Zurich presents: Scientific Benchmarking of Parallel Computing Systems. Measuring and reporting performance of parallel computers constitutes the basis for ...

Parallel computing for differential equations has emerged as a critical field in computational science, enabling the efficient simulation of complex physical systems governed by ordinary and partial ...

In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python: Current state and recent advances. Modern hardware is multi-core. It is crucial for Python to ...