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Accelerating JAX Inference on GPUs with FlashInfer Kernels
Lecture 9 Reductions
OptimasX: An Agentic End-to-End GPU Performance Optimization Workflow in the Code Editor
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Last Updated: October 14, 2026
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Slides: docs.google.com/presentation/d/13WLCuxXzwu5JRZo0tAfW0hbKHQMvFw4O/edit Numerical ocean models have been developed to study and replicate the ocean's state and understand its impact on climate, ... Thomas Ng Platform Architect - Intel Jason Rock Distinguished Member of Technical Staff - Dell Technologies OCP NIC 3.0 ... You work at a computer repair store. A customer has brought in their PC. They say the computer turns on but they can't get it to ... InferenceX is an open-source (Apache 2.0) automated benchmark designed to keep pace with the rapidly evolving LLM inference ... UMass Lowell 16.650 Advanced Computer Architecture Overall OpenCL performance results of the various Ekaterina Sirazitdinova and Xiaopo Cheng from NVIDIA introduce how to accelerate large language model inference in JAX on ... Slides docs.google.com/presentation/d/1s8lRU8xuDn-R05p1aSP6P7T5kk9VYnDOCyN5bWKeg3U/edit?usp=sharing ... A 1-minute overview demonstrating OptimasX, a fully agentic end-to-end GPU code
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