profiling

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#profiling

Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.

Hugging Face Blog ↗ · yesterday Cached

Part 1 of Amazon's tutorial series on profiling TorchNeuron workloads on AWS Trainium, covering how to configure torch.profiler with the Neuron backend, read key_averages() output, and trace operations through Neuron Explorer.

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#profiling

HF Viewer device farm!

Reddit r/LocalLLaMA ↗ · yesterday

HF Viewer 创作者宣布推出 embedl.com,一个收录 1000+ 针对边缘设备优化模型的平台,用户可通过免费的真实边缘设备农场(如 NVIDIA Orin、AGX Thor、RTX GPU)直接运行模型并获得详细性能分析。

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#profiling

Hello Python 3.15, goodbye 3.10, and now I can use 3.11

Simon Willison's Blog ↗ · 2026-10-12 Cached

Python 3.15 正式发布,Simon Willison 介绍了其中的重点特性:PEP 810 显式惰性导入(lazy imports)、PEP 798 列表推导式解包语法,以及新加入标准库的 Tachyon 采样性能分析器 profiling.sampling。

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#profiling

Profiling web-edit with Python 3.15: flame graphs and source heatmaps

Simon Willison's Blog ↗ · 2026-10-12 Cached

Simon Willison profiles his new web-edit app using Python 3.15's built-in sampling profiler, revealing that mixed line-ending preservation dominated CPU time, and demonstrates how to generate flame graphs and source heatmaps with the new tooling.

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#profiling

culpert - rust heap profiling with span awareness and regression tooling

Lobsters Hottest ↗ · 2026-10-10 Cached

culpert 是一个实验性的 Rust 堆分配分析器,能将采样到的分配归属到 span,导出 pprof 兼容报告并在 CI 中检测分配回归,由 Cloudflare 开发并已在生产前捕获多个内存泄漏问题。

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#profiling

@charliermarsh: Python 3.15 is out now. Here's our overview of what's new, including lazy imports, a new statistical sampling profiler …

X AI KOLs Timeline ↗ · 2026-10-10 Cached

Python 3.15 is released, featuring lazy imports via a new `lazy` keyword, the Tachyon statistical sampling profiler, sentinel types, and more, alongside updated Astral tools Ruff, uv, and ty.

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#profiling

@PyTorch: From torch.profiler to Hardware Cycles: A Practical Profiling Playbook AWS Trainium: designed from the ground up for ne…

X AI KOLs Following ↗ · 2026-10-06 Cached

PyTorch Conference North America will feature a session by AWS's Esha Lakhotia and Pinak Panigrahi on profiling PyTorch workloads on AWS Trainium, covering torch.profiler capture through cycle-level hardware debugging with AI-assisted analysis. The event takes place in San Jose on October 20-21.

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#profiling

@anirudhbv_ce: Introducing SparkTrace LLM: a benchmark for an LLM's CUDA kernel performance judgment. Inspired by @stanford's KernelBe…

X AI KOLs Timeline ↗ · 2026-10-05 Cached

SparkTrace LLM 是一个新基准,用 Blackwell GPU 的真实计时结果评估 LLM 阅读 Nsight Compute 性能剖析输出后,能否正确选择最快的 CUDA kernel 重写版本。实验发现包括 GPT 5.4 nano 在内的一些模型会被性能剖析信息误导而选错 kernel。

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#profiling

@PyTorch: What You Cannot Profile, You Cannot Optimize: Learning to Read PyTorch Traces In his talk at PyTorch Conference North A…

X AI KOLs Timeline ↗ · 2026-09-30 Cached

Suvaditya Mukherjee of Hugging Face will present on using the PyTorch Profiler to identify performance bottlenecks and optimize model execution at PyTorch Conference North America 2026 in San Jose, October 20-21.

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#profiling

I wrote a free, open-source book on making ML models actually fast, from silicon to agents [P]

Reddit r/MachineLearning ↗ · 2026-09-29

A free, open-source book titled 'How to Make Your Model Fast' that provides a systems view of efficient machine learning, from hardware to agents, to help optimize model performance.

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#profiling

How to avoid correctness space leaks on a lazy setting in Haskell (2023)

Lobsters Hottest ↗ · 2026-09-10 Cached

The article discusses methods to avoid correctness space leaks in Haskell by classifying leaks into strictness, liveness, and sharing types, and recommends defensive coding patterns and profiling techniques.

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#profiling

Goroutine Leak Profiles

Lobsters Hottest ↗ · 2026-09-02 Cached

Go 1.27 introduces a goroutine leak profiler to accurately detect and prevent goroutine leaks in running programs, including production systems, with minimal false positives.

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#profiling

Why is Arrays.fill 265 times slower on G1GC?

Hacker News Top ↗ · 2026-09-01 Cached

The article investigates why Arrays.fill is 265 times slower on G1GC compared to ParallelGC, tracing the issue to JIT-generated code and memory barriers through detailed profiling and assembly analysis.

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#profiling

Aiki Alpha 3 Released - Performance Improved

Lobsters Hottest ↗ · 2026-08-30 Cached

Aiki Alpha 3 is released with substantial performance improvements, including cheaper runtime realization, adaptive number representations, enhanced profiling and coverage, and stricter library constraints.

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#profiling

FleetSieve: Decision-Critical Profiling for SLO-Aware LLM Fleet Configuration

arXiv cs.LG ↗ · 2026-08-21 Cached

FleetSieve introduces a decision-critical profiling method for SLO-aware LLM fleet configuration that optimizes resource allocation by reducing unnecessary measurements, achieving efficiency gains over uniform profiling.

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#profiling

Software Understanding in the Sciences is Really Uneven

Lobsters Hottest ↗ · 2026-08-07 Cached

A software engineer reflects on how scientists often lack software engineering skills, using an example of optimizing an astrophysics simulation postprocessing tool and advocating for a 'missing semester' for scientists.

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#profiling

I built an open-source tool that reduces TensorBoard trace sizes by 90%+ for JAX/XLA (XProf Cubism Reducer)

Reddit r/LocalLLaMA ↗ · 2026-07-30

An open-source tool called XProf Cubism Reducer reduces TensorBoard trace sizes by over 90% for JAX/XLA, making performance profiling more efficient.

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#profiling

How Do I Profile eBPF Code?

Hacker News Top ↗ · 2026-07-28 Cached

This article demonstrates how to profile eBPF code performance by creating a simple C test harness that measures file open latency, enabling developers to compare overhead before and after attaching eBPF hooks.

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#profiling

@ariG23498: There are two official torch tutorials that link to the "Profiling in PyTorch" sereis! https://docs.pytorch.org/tutoria…

X AI KOLs Timeline ↗ · 2026-07-20 Cached

Two official PyTorch tutorials linking to the 'Profiling in PyTorch' series are highlighted, providing guidance on using the PyTorch profiler API for performance debugging.

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#profiling

CodeSizer: Why is that binary so big?

Lobsters Hottest ↗ · 2026-07-19 Cached

CodeSizer is a static code size profiling tool for embedded firmware that uses objdump and addr2line to attribute code size to inline call trees and generates an HTML report.

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