Abstract: Traditional data mining methods are inefficient in dealing with huge and diverse data, and it is difficult to meet the requirements of real-time and accuracy. Parallel algorithm ...

Abstract: In this article, cycle-time configuration is realized using max-plus algebra for a parallel processing system via a synchronous feedback controller. As a key efficiency metric of parallel ...

Society for Industrial and Applied Mathematics is proud to present the twenty-first Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in ...

Fifty years after America’s involvement in Vietnam, Robert Reed Altman — son of legendary M*A*S*H director Robert Altman — is bringing a powerful new war drama to the stage. The world premiere of ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

Fifty years after America's involvement in Vietnam, Robert Altman Jr. — son of legendary M*A*S*H director Robert Altman — is bringing a powerful new war drama to the stage. The world premiere of ...

Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performance—especially for generative AI, where ...

I want to do parallel processing in the object counting using the yolov8. Currently, I am using ultralytics on my GPU but only 1/3 of the GPU is utilized and took almost the same time as the length of ...

Pheast Therapeutics is using a platform-based approach to scaling manufacturing for its anti-CD24 checkpoint inhibitor, PHST001. By compressing the chemistry, manufacturing, and control (CMC) steps ...

In this study, we delve into the realm of efficient Big Data Engineering and Extract, Transform, Load (ETL) processes within the healthcare sector, leveraging the robust foundation provided by the ...