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 ...

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 ...

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 ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...