From stuck to scaled: How hyper-parallel AI training cuts iteration cycles 20X

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...
IEEE

PCEBench: A Multi-Dimensional Benchmark for Evaluating Large Language Models in Parallel Code Generation

Abstract: The increasing complexity of software systems and advancements in hardware architectures have intensified the demand for efficient parallel code generation. While parallel programming offers ...
IEEE

Optimal Tracking Control for Wheeled Mobile Robot via Adaptive Dynamic Programming with Concurrent Learning

Abstract: This paper presents an optimal trajectory tracking control approach for wheeled mobile robots (WMRs) using the adaptive dynamic programming (ADP) method integrated with radial basis function ...
Medical Xpress

No OS benefit for concurrent and consolidative durvalumab vs. consolidation alone in unresectable stage 3 NSCLC: Trial

Treating patients who have stage III non-small cell lung cancer (NSCLC) with durvalumab concurrent with chemoradiotherapy (CRT) and continuing as consolidation therapy did not improve overall survival ...
C&EN

Photochemical Generation of Peroxynitrite: Concurrent Inhibition of Glycolysis and Glutamine Metabolism for Enhanced Metabolic Therapy

State Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China ...
GitHub

A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.

This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.