1 citations · 3 across the 7 of their papers we have counts for
9 papers
Evolution of multihadron fragmentation functions with nonperturbative behavior
K. Makino, T. C. Rogers
QCD calculations that use multihadron fragmentation functions usually involve multiple invariant mass scales simultaneously, with only one being the hard scale associated with an o…
Microbenchmark-Driven Analytical Performance Modeling Across Modern GPU Architectures
Aaron Jarmusch, Sunita Chandrasekaran
Rapidly evolving GPU architectures featuring complex memory hierarchies, matrix units, and varied precision formats continue to widen the gap between theoretical peaks and achievab…
Execution-Centric Characterization of FP8 Matrix Cores, Asynchronous Execution, and Structured Sparsity on AMD MI300A
Aaron Jarmusch, Connor Vitz, Sunita Chandrasekaran
The AMD MI300A APU integrates CDNA3 GPUs with high-bandwidth memory and advanced accelerator features: FP8 matrix cores, asynchronous compute engines (ACE), and 2:4 structured spar…
Microbenchmarking NVIDIA's Blackwell Architecture: An in-depth Architectural Analysis
Aaron Jarmusch, Sunita Chandrasekaran
As GPU architectures rapidly evolve to meet the growing demands of exascale computing and machine learning, the performance implications of architectural innovations remain poorly…
LLM4VV: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests
Zachariah Sollenberger, Rahul Patel, Saieda Ali Zada +1
The usage of Large Language Models (LLMs) for software and test development has continued to increase since LLMs were first introduced, but only recently have the expectations of L…
Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks
Aaron Jarmusch, Nathan Graddon, Sunita Chandrasekaran
The rapid development in scientific research provides a need for more compute power, which is partly being solved by GPUs. This paper presents a microarchitectural analysis of the…
LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites
Zachariah Sollenberger, Jay Patel, Christian Munley +2
Large Language Models (LLM) are evolving and have significantly revolutionized the landscape of software development. If used well, they can significantly accelerate the software d…
CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations
Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale +6
Software developers must adapt to keep up with the changing capabilities of platforms so that they can utilize the power of High- Performance Computers (HPC), including exascale sy…
LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation
Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran
Large language models (LLMs) are a new and powerful tool for a wide span of applications involving natural language and demonstrate impressive code generation abilities. The goal o…