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Found 9 papers, 9 papers with code
Reactor Optimization Benchmark by Reinforcement Learning
Neutronic calculations for reactors are a daunting task when using Monte Carlo (MC) methods.
MPIrigen: MPI Code Generation through Domain-Specific Language Models
This study first investigates the performance of state-of-the-art language models in generating MPI-based parallel programs.
Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks
Specifically, we start off with HPC as a domain and build an HPC-specific LM, named MonoCoder, that is orders of magnitude smaller than existing LMs but delivers similar, if not better performance, on non-HPC and HPC tasks.
Scope is all you need: Transforming LLMs for HPC Code
With easier access to powerful compute resources, there is a growing trend in the field of AI for software development to develop larger and larger language models (LLMs) to address a variety of programming tasks.
Explainable Multi-View Deep Networks Methodology for Experimental Physics
In this paper, we suggest different multi-view architectures for the vision domain, each suited to another problem, and we also present a methodology for explaining these models.
MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers
Message Passing Interface (MPI) plays a crucial role in distributed memory parallelization across multiple nodes.
Advising OpenMP Parallelization via a Graph-Based Approach with Transformers
Specifically, we propose a novel approach, called OMPify, to detect and predict the OpenMP pragmas and shared-memory attributes in parallel code, given its serial version.
Hate Speech Targets Detection in Parler using BERT
These platforms have become a district for hate speech against diverse targets.
Determining HEDP Foams' Quality with Multi-View Deep Learning Classification
A common problem in foam production is the creation of defective foams.
