How NVIDIA Uses Assembly
15 engineering articles about Assembly from NVIDIA's engineering team
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The article discusses the NVIDIA Rubin platform, which introduces six new chips designed to create a powerful AI supercomputer.
Kyle Aubrey
59 min read
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The article discusses three neural innovations from NVIDIA Research that are enhancing robot learning capabilities, specifically focusing on bridging the gap between controlled simulations and real...
Rishabh Chadha
8 min read
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Compiler Explorer is a web-based tool that allows CUDA developers to write, compile, and run GPU kernels directly in their browser without needing a local setup.
The article discusses the advancements in robotic assembly applications using NVIDIA Isaac Lab, emphasizing the transition from fixed automation to flexible automation through simulation and AI.
This article discusses NVIDIA's advancements in robotic assembly and contact-rich manipulation, highlighting innovative workflows and technologies that enhance flexibility, adaptability, and scalab...
The article discusses the introduction of family-specific architecture features in NVIDIA Blackwell and CUDA 12. 9, emphasizing backward compatibility and the use of Parallel Thread Execution (PTX).
Jonathan Bentz
14 min read
Includes Code
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This article provides an in-depth understanding of Parallel Thread Execution (PTX), the assembly language for NVIDIA's CUDA GPU computing platform.
The article discusses AutoMate, a novel framework developed by NVIDIA for training robotic assembly skills that can be transferred from simulation to real-world applications.
Bingjie Tang
9 min read
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The article discusses the advancements in transferring industrial robot assembly tasks from simulation to reality using a framework called IndustReal.
NVIDIA researchers introduced Factory, a novel simulation approach designed to enhance robotic assembly by enabling real-time, accurate simulations of contact-rich interactions.
Oyindamola Omotuyi
10 min read
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The article discusses the transformative impact of AI on the industrial sector, highlighting its potential to add $4. 8 trillion in economic value.
Piyush Modi
4 min read
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NVIDIA has introduced VRSS 2, an advanced version of Variable Rate Supersampling that incorporates dynamic foveated rendering using gaze tracking technology.
Peter Pang
3 min read
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The Clara Genomics SDK 0.
The article discusses the Peak-Performance-Percentage Analysis Method developed by NVIDIA to optimize GPU workloads by identifying performance limiters using hardware metrics.
The article discusses how to view assembly code correlation in Nsight Visual Studio Edition, emphasizing the importance of understanding the underlying assembly code generated from high-level CUDA ...
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