Recent Posts - Page 36#
TensorFlow Profiler in practice: Optimizing TensorFlow models on AMD GPUs
TensorFlow Profiler measures resource use and performance of models, helping identify bottlenecks for optimization. This blog demonstrates the use of the TensorFlow Profiler tool on AMD hardware.
Stone Ridge Expands Reservoir Simulation Options with AMD Instinct™ Accelerators
Stone Ridge Technology (SRT) pioneered the use of GPUs for high performance reservoir simulation (HPC) nearly a decade ago with ECHELON, its flagship software product. ECHELON, the first of its kind, engineered from the outset to harness the full potential of massively parallel GPUs, stands apart in the industry for its power, efficiency, and accuracy. Now, ECHELON has added support for AMDInstinct accelerators into its simulation engine, offering new flexibility and optionality to its clients.
SmoothQuant model inference on AMD Instinct MI300X using Composable Kernel
SmoothQuant model inference on AMD Instinct MI300X using Composable Kernel
Unveiling performance insights with PyTorch Profiler on an AMD GPU
Unveiling Performance Insights with PyTorch Profiler on an AMD GPU
Panoptic segmentation and instance segmentation with Detectron2 on AMD GPUs
Object Detection and Image Segmentation with Detectron2 on AMD GPU
Siemens taps AMD Instinct™ GPUs to expand high-performance hardware options for Simcenter STAR-CCM+
Siemens recently announced that its Simcenter STAR-CCM+ multi-physics computational fluid dynamics (CFD) software now supports AMD Instinct™ GPUs for GPU-native computation. This move addresses its users' needs for computational efficiency, reduced simulation costs and energy usage, and greater hardware choice.
AMD Collaboration with the University of Michigan offers High Performance Open-Source Solutions to the Bioinformatics Community
We are thrilled to share the success story of a 1.5-year collaboration between AMD and the University of Michigan, Ann Arbor where we used the AMD Instinct™ GPUs and ROCm™ software stack to optimize the sequence alignment bottleneck in long read processing workflows.
Accelerating Large Language Models with Flash Attention on AMD GPUs
Accelerating Large Language Models with Flash Attention on AMD GPUs
AMD in Action: Unveiling the Power of Application Tracing and Profiling
AMD in Action: Unveiling the Power of Application Tracing and Profiling
Step-by-Step Guide to Use OpenLLM on AMD GPUs
OpenLLM is an open-source platform for deploying large language models, enabling cloud or on-premises use. In this blog we focus on using OpenLLM to start an LLM server leveraging the capabilities of AMD GPUs