In a separate effort to facilitate parallel computing, Nvidia recently launched its "2x in 4 Weeks. Guaranteed." program, encouraging programmers to use a directives-based model to double their ...

Working in tandem, a quantum computer and a supercomputer modelled the behaviour of several molecules, paving the way for ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).CUDA enables developers to speed up compute ...

However, most of distributed and parallel graph algorithms in the MPC model are designed for static graphs. ... Frontiers of Computer Science DOI 10.1007/s11704-024-3452-2. Keywords ...

NCAR was able to speed up the Weather Research & Forecasting Model by 20% by parallelizing one component of the model with NVIDIA CUDA software and a many-core GPU Computing Processor called Tesla.

Dr. Hoefler’s research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also ...

By integrating multi-wavelength light sources, optical interconnection chips, computing chips, matrix drivers system, and hybrid photonic-electronic computing algorithms, the researchers validated ...

References [1] Parallel-in-time multiple shooting for optimal control problems governed by the Navier–Stokes equations. Computer Physics Communications (2024). [2] High-order space–time ...

He has made deep and wide-ranging contributions to many areas of parallel computing including programming languages, compilers, and runtime systems for multicore, manycore and distributed computers.

We discuss how our work could enable even higher-performance systems after co-designing algorithms to exploit massively parallel gradient computation.” Find the technical paper here. Published ...