Posts by Fabricio Flores

TensorFlow Profiler in practice: Optimizing TensorFlow models on AMD GPUs

TensorFlow Profiler consists of a set of tools designed to measure resource utilization and performance during the execution of TensorFlow models. It offers insights into how a model interacts with hardware resources, including execution time and memory usage. TensorFlow Profiler helps in pinpointing performance bottlenecks, allowing us to fine-tune the execution of models for improved efficiency and faster outcomes which can be crucial in scenarios where near-real-time predictions are required.

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AMD in Action: Unveiling the Power of Application Tracing and Profiling

Rocprof is a robust tool designed to analyze and optimize the performance of HIP programs on AMD ROCm platforms, helping developers pinpoint and resolve performance bottlenecks. Rocprof provides a variety of profiling data, including performance counters, hardware traces, and runtime API/activity traces.

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Step-by-Step Guide to Use OpenLLM on AMD GPUs

1, May 2024 by Fabricio Flores.

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Building semantic search with SentenceTransformers on AMD

4 Apr, 2024 by Fabricio Flores.

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