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Research Labs
All Research Labs
Spatial Intelligence
Applied Research
Autonomous Systems and Physical AI
NVIDIA Cosmos Lab
Publications
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New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
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2026
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Artificial Intelligence and Machine Learning
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Artificial Intelligence and Machine Learning
Programming Languages, Systems and Tools
2026
Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents
Minki Kang,
Ryo Hachiuma
,
Shaokun Zhang
, Subhashree Radhakrishnan,
Yonggan Fu
,
Jindong Jiang
,
Mingjie Liu
, Ehsan Hosseini-Asl,
Yi Dong
,
Yu-Chiang Frank Wang
,
Byung-Kwan Lee
Isekai3D SDG: A Platform for Diverse Synthetic Gameplay Visual Data
Rafał Karp, Gene Liu, Shih-Hsin Li, Eric Courtemanche, Shengze Wang,
Josef Spjut
, David Pankratz, Mischa Kolbe, Michael Stengel, Sven Elflein, Adam Grygielski, Liwen Wu, Anjul Patney
Fearless Concurrency on the GPU
Melih Elibol
, Jared Roesch,
Isaac Gelado
, Eric Buehler,
Michael Garland
2022
Demystifying Map Space Exploration for NPUs
Sheng-Chun Kao,
Angshuman Parashar
,
Po-An Tsai
, Tushar Krishna
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators
Prasanth Chatarasi, Hyoukjun Kwon,
Angshuman Parashar
,
Michael Pellauer
, Tushar Krishna, Vivek Sarkar
2021
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi,
Angshuman Parashar
,
Po-An Tsai
, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2020
A Programmable Approach to Neural Network Compression
Vinu Joseph, Ganesh L. Gopalakrishnan,
Saurav Muralidharan
,
Michael Garland
, Animesh Garg
2019
Timeloop: A Systematic Approach to DNN Accelerator Evaluation
Angshuman Parashar
, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara,
Rangharajan Venkatesan
,
Brucek Khailany
,
Steve Keckler
,
Joel Emer
