MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces
Fuente:
arXiv
Saved in:
| Main Authors: | Sridharan, Srinivas, Badea, Theodor-Adrian, Balogh, Andy, Beckmann, Bradford M., Coutinho, Brian, Feng, Louis, Fu, Sheng, Gao, Sanshan, Garakani, Mehryar, Heo, Taekyung, Kanter, David, Ladd, Josh, Li, Ziwei, Liu, Winston, Man, Changhai, Mihailescu, Dan, More, Spandan, Park, Joongun, Ramachandran, Ashwin, Ramakrishnaiah, Vinay, Rashidi, Saeed, Reddi, Vijay Janapa, Sharma, Puneet, Tian, Phio, Won, William, Wu, Hanjiang, Xu, Huan, Yoo, Jinsun, Krishna, Tushar |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
STAGE: A Symbolic Tensor grAph GEnerator for distributed AI system co-design
by: Man, Changhai, et al.
Published: (2025)
by: Man, Changhai, et al.
Published: (2025)
TinyTorch: Building Machine Learning Systems from First Principles
by: Reddi, Vijay Janapa
Published: (2026)
by: Reddi, Vijay Janapa
Published: (2026)
Generative AI Agents in Autonomous Machines: A Safety Perspective
by: Jabbour, Jason, et al.
Published: (2024)
by: Jabbour, Jason, et al.
Published: (2024)
Flint: Compiler Enabled Cluster-Free Design Space Exploration for Distributed ML
by: Yoo, Jinsun, et al.
Published: (2026)
by: Yoo, Jinsun, et al.
Published: (2026)
COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems
by: Raju, Aditi, et al.
Published: (2025)
by: Raju, Aditi, et al.
Published: (2025)
Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective
by: Go, Seokjin, et al.
Published: (2025)
by: Go, Seokjin, et al.
Published: (2025)
Haar-Laplacian for directed graphs
by: Badea, Theodor-Adrian, et al.
Published: (2024)
by: Badea, Theodor-Adrian, et al.
Published: (2024)
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale
by: Won, William, et al.
Published: (2023)
by: Won, William, et al.
Published: (2023)
The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems
by: Neuman, Sabrina M., et al.
Published: (2024)
by: Neuman, Sabrina M., et al.
Published: (2024)
An MLCommons Scientific Benchmarks Ontology
by: Hawks, Ben, et al.
Published: (2025)
by: Hawks, Ben, et al.
Published: (2025)
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting
by: Ma, Jeffrey, et al.
Published: (2024)
by: Ma, Jeffrey, et al.
Published: (2024)
MLHarness: A Scalable Benchmarking System for MLCommons
by: Chang, Yen-Hsiang, et al.
Published: (2021)
by: Chang, Yen-Hsiang, et al.
Published: (2021)
MLCommons Cloud Masking Benchmark with Early Stopping
by: Chennamsetti, Varshitha, et al.
Published: (2023)
by: Chennamsetti, Varshitha, et al.
Published: (2023)
Improvements & Evaluations on the MLCommons CloudMask Benchmark
by: Chennamsetti, Varshitha, et al.
Published: (2024)
by: Chennamsetti, Varshitha, et al.
Published: (2024)
SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility
by: Jabbour, Jason, et al.
Published: (2025)
by: Jabbour, Jason, et al.
Published: (2025)
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
by: Lam, Maximilian, et al.
Published: (2022)
by: Lam, Maximilian, et al.
Published: (2022)
The strong Fermat-Catalan Equation
by: Mihailescu, Preda
Published: (2025)
by: Mihailescu, Preda
Published: (2025)
Khecarī Decoded — Palatal Skambha, the Hidden Tālu Chakra, and the Closing of the Cerebrospinal-Salivary Torus
by: Ranadive, Kalpna
Published: (2026)
by: Ranadive, Kalpna
Published: (2026)
Introducing v0.5 of the AI Safety Benchmark from MLCommons
by: Vidgen, Bertie, et al.
Published: (2024)
by: Vidgen, Bertie, et al.
Published: (2024)
Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing
by: Wu, Hanjiang, et al.
Published: (2024)
by: Wu, Hanjiang, et al.
Published: (2024)
TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
by: Huckelberry, Jacob, et al.
Published: (2024)
by: Huckelberry, Jacob, et al.
Published: (2024)
Towards a Standardized Representation for Deep Learning Collective Algorithms
by: Yoo, Jinsun, et al.
Published: (2024)
by: Yoo, Jinsun, et al.
Published: (2024)
Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges
by: Shin, Ukcheol, et al.
Published: (2025)
by: Shin, Ukcheol, et al.
Published: (2025)
OceanSplat: Object-aware Gaussian Splatting with Trinocular View Consistency for Underwater Scene Reconstruction
by: Kweon, Minseong, et al.
Published: (2026)
by: Kweon, Minseong, et al.
Published: (2026)
Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
by: Krishnan, Srivatsan, et al.
Published: (2025)
by: Krishnan, Srivatsan, et al.
Published: (2025)
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
by: Berghe, Korneel Van den, et al.
Published: (2025)
by: Berghe, Korneel Van den, et al.
Published: (2025)
From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models
by: Quaye, Jessica, et al.
Published: (2025)
by: Quaye, Jessica, et al.
Published: (2025)
Materiality and Risk in the Age of Pervasive AI Sensors
by: Sloane, Mona, et al.
Published: (2024)
by: Sloane, Mona, et al.
Published: (2024)
Exploring the hadronic landscape, a novel search in multijet events at the ATLAS experiment
by: Badea, Anthony
Published: (2024)
by: Badea, Anthony
Published: (2024)
Ikonische Macht
by: Kanter, Heike
Published: (2020)
by: Kanter, Heike
Published: (2020)
Castigos (caros) a los monopolios / James Kanter
by: Kanter, James
Published: (2006)
by: Kanter, James
Published: (2006)
Mussel Community Studies [Year Three].
by: Kanter, Robert
Published: (1979)
by: Kanter, Robert
Published: (1979)
Mussel Community Studies [Year Two].
by: Kanter, Robert
Published: (1978)
by: Kanter, Robert
Published: (1978)
Rational Transductors
by: Mohri, Mehryar
Published: (2026)
by: Mohri, Mehryar
Published: (2026)
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons
by: Ghosh, Shaona, et al.
Published: (2025)
by: Ghosh, Shaona, et al.
Published: (2025)
Control of a 2-DoF robotic arm using a P300-based brain-computer interface
by: Garakani, Golnoosh, et al.
Published: (2019)
by: Garakani, Golnoosh, et al.
Published: (2019)
Deep Learning Agents Trained For Avoidance Behave Like Hawks And Doves
by: Reddi, Aryaman
Published: (2025)
by: Reddi, Aryaman
Published: (2025)
Test file
by: Hu, Hanjiang
Published: (2025)
by: Hu, Hanjiang
Published: (2025)
FRED: Flexible REduction-Distribution Interconnect and Communication Implementation for Wafer-Scale Distributed Training of DNN Models
by: Rashidi, Saeed, et al.
Published: (2024)
by: Rashidi, Saeed, et al.
Published: (2024)
Towards Easy and Realistic Network Infrastructure Testing for Large-scale Machine Learning
by: Yoo, Jinsun, et al.
Published: (2025)
by: Yoo, Jinsun, et al.
Published: (2025)
Similar Items
-
STAGE: A Symbolic Tensor grAph GEnerator for distributed AI system co-design
by: Man, Changhai, et al.
Published: (2025) -
TinyTorch: Building Machine Learning Systems from First Principles
by: Reddi, Vijay Janapa
Published: (2026) -
Generative AI Agents in Autonomous Machines: A Safety Perspective
by: Jabbour, Jason, et al.
Published: (2024) -
Flint: Compiler Enabled Cluster-Free Design Space Exploration for Distributed ML
by: Yoo, Jinsun, et al.
Published: (2026) -
COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems
by: Raju, Aditi, et al.
Published: (2025)