activity
20222026
most citedDissecting the NVIDIA Blackwell Architecture with Microbenchmarks

1 citations · 3 across the 7 of their papers we have counts for

collaborators

9 papers

hep-ph2026

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…

cs.DC2026

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…

cs.DC2026

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…

cs.AR2025

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…

cs.DC2025★ 1 cited

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…

cs.SE2024

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…

cs.PL2024★ 1 cited

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…

cs.AI2023★ 1 cited

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…

cs.SE2022

Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above

A. M. Jarmusch, A. Liu, C. Munley +4

OpenACC is a high-level directive-based parallel programming model that can manage the sophistication of heterogeneity in architectures and abstract it from the users. The portabil…