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 ...

We further develop system-aware parallel graph algorithms that enable runtime optimizations for faster and safer processing, hence bridging high-performance computing and big data analytics. Finally, ...

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 ...

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.

In this paper, the authors present a survey of the different parallel programming models and tools available today with special consideration to their suitability for high performance computing ...

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 ...

The Eleventh International Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2) has issued its Call for Papers. The event takes place in August 22 in Eugene, ...

However current implementations of AES algorithm suffer from huge CPU resource consumption and low throughput. ... (Graphics Processing Unit) parallel computing and its optimized design for ...