Instruction Level Parallelism (ILP) is a way of improving the performance of a processor by executing operations simultaneously.

Chemical process simulations are crucial for optimizing industrial operations, but they often require significant ...

Even if these problems can be solved, gains from superscalarity are, in the end, limited by the opportunities for instruction-level parallelism inherent in the code to be executed.

Sun, however, is trying to avoid leaning too heavily on instruction-level parallelism, which is the basis of the explicitly parallel-instruction computing (Epic) architecture Intel uses in its Itanium ...

While clock rates and chip scales approach technological limits, microcomb-driven parallel optical computing offers a viable path to boost computility by overcoming parallelism constraints.

Once a processor node has an address, it can be sent tasks from the controller node. In the example application, these tasks involve computing elements of the Mandelbrot Set.

Parallel Computing for Differential Equations Publication Trend The graph below shows the total number of publications each year in Parallel Computing for Differential Equations.

Chinese researchers have developed the first highly parallel optical computing integrated chip, named “Meteor-1”, setting a milestone for using light to perform an enormous number of ...

Multithreading, for example, will exploit thread-level parallelism to boost throughput and execution unit efficiency, despite increasing memory latency. Vector processing in the modern form of SIMD ...