Abstract: Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallel programs ... in high-performance computing (HPC), especially as systems approach exa-scale operations.

It would later be considered a forerunner of RISC (Reduced Instruction Set Computing ... "parallel processing." Decades of work have gone into the development of operating systems, message-passing ...

The ACM cited these examples of Hoefler’s HPC-AI R&D: Message Passing ... to process massive influxes of data. “While Hoefler introduced many of these innovations while he was still a student, they ...

Unlike traditional distributed computing frameworks, Bodo: Seamlessly supports native Python APIs like Pandas and NumPy. Eliminates runtime overheads common in driver-executor models by leveraging ...

“Distributed-data-parallel and fully-sharded-data-parallel ... the generic CPU and moving those tasks onto dedicated processing engines that are task-specific,” said Roddy. Startup Flow Computing is ...

Abstract: With the ever increasing demand for high quality 3D image processing on markets ... to use these multiple computing resources to compute tasks in parallel. This paper proposes the ...

Message passing is used in a wide variety of applications, such as distributed computing, parallel processing, and networking. It is also used in operating systems for interprocess communication and ...

Consequently, in parallel computing ... passing parallelism is a form of parallel programming where multiple processes communicate by exchanging messages through a network. This allows for ...

Due to an internal process change, the Xyce team has decided ... Xyce was designed from scratch to be a parallel simulation code, written in C++ and using a message-passing implementation (MPI). Xyce ...