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Software Optimizations Become Simple with Top-Down Analysis on Intel Skylake - Ahmad Yasin @ IDF'15
Optimize GPU performance for AI - Prof. Gennady Pekhimenko
NPU vs GPU for Local AI: What Actually Matters for LLMs, VRAM & AI PCs
From Compilers to Code Whisperers Can Generative AI Solve the Optimization Puzzle
Fix AI Agent Latency: CPU, GPU, and Edge Placement | Jon Alexander, Akamai
Making GPUs Actually Fast: A Deep Dive into Training Performance
AI +GPU System Perf Tuning with eBPF +flamegraphs by Israel Ogbole + Joel Honer, Founders @ Zymtrace
OCB: AI-enabled Proactive Management for Cost and Performance Optimization in Hybrid MultiCloud
I Benchmarked vLLM on One GPU — MFU, MBU, and Why nvidia-smi Lies | Inference Optimization
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Last Updated: September 16, 2026
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OpenMP SC25 Tech Talk: Vivek Kale presents " Red Hat* and Intel are working together to provide an accelerated end-to-end Little update on my VFX/Science/ Talk Introduction and Meetup Updates by Chris Fregly Github Repo: github.com/cfregly/ The Top-down Microarchitecture Analysis (TMA) Method is an industry-proven systematic approach that identifies Prof. Gennady Pekhimenko - CEO of CentML joins us in this *sponsored episode* about PC makers are pushing NPUs as the future of "Amir Yazdanbakhsh (Research Scientist) - Google Deepmind As Moore‚as Law slows- the challenge of optimizing by Jan-Patrick Lehr (AMD) at the 8th EasyBuild User Meeting (EUM'23, easybuild.io/eum23). Slides available at ... Talk Everything You Need to Know About Reducing Voice-Agent Latency (by Philip Kiely @ Baseten) Rolling your own ... Talk Introductions and Meetup Updates by Chris Fregly and Antje Barth Talk ProphetStor has been working on bringing
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