The paper introduces EduMPI, a learning support tool for simplifying cluster usage and performance analysis of MPI parallel programs for students.

This paper assesses HPC education at 102 academic institutions in Germany, identifying 178 HPC-related courses and evaluating their competency coverage and curricular placement, as well as examining l…

This paper proposes an HPC-aware methodology for Knowledge Distillation (KD) that decouples teacher and student partitioning efficiently, achieving up to 67% higher samples-per-second than the widely…

Researchers used a large language model to generate checkpoint/restart code for MPI applications, achieving comparable efficiency to human-engineered solutions.

BiJuTy is a user-friendly solution for executing complex big data processing workflows on high-performance computing systems within the Jupyter ecosystem.

This paper investigates the use of a Random Forest surrogate model to predict molecular dynamics workload performance and recommend optimal hybrid MPI+OpenMP configurations without exhaustive benchmar…

The paper presents improvements to the performance and scalability of WaterLily.jl, a scale-resolving incompressible flow solver, through the addition of MPI-based parallelism and optimizations to the…

The paper introduces Grid Programs, a novel, Turing-complete model of computation where programs are two-dimensional arrangements of instructions, fundamentally departing from linear code structures.

This paper introduces Stale Synchronous Parallel mode of execution for parallel sparse triangular linear system solve and presents a scheduler that achieves geometric-mean speed-ups of 7-30% over Grow…

The paper introduces Rotary GPU, an exploratory execution approach demonstrating that large Mixture-of-Experts models can be run locally on consumer GPUs with limited VRAM, achieving usable decode thr…

First implementation of a 3D Gaussian renderer on an Intelligence Processing Unit (IPU) with 1,472 independent tiles using only on-chip SRAM.

This paper presents two techniques, dynamic checkpointing and progress-aware load redistribution, to maintain forward progress and balanced execution in real-time scientific workflows using the produc…

An R package named rush is introduced, which provides a shared-state coordination layer for asynchronously parallelized iterative algorithms using a Redis database.

This paper evaluates the performance of large language models on popular benchmarks and finds that only a small percentage of the performant implementations are significantly faster than canonical sol…