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GitHub - google/llvm-propeller: PROPELLER: Profile Guided Optimizing Large Scale LLVM-based Relinker
Nsight Graphics
Learn how Nsight Graphics can be used to accelerate development and help make high-performance games with beautiful graphics. Graphics optimization and hardware utilization shouldn’t be ambiguous. Nsight Graphics offers an unparalleled level of access into the performance markers of your graphics API—an invaluable aid in finding optimization opportunities that couldn’t be identified without lookin
GitHub - JeremyMain/GPUProfiler: GPUProfiler - Understand your application and workflow resource requirements
I needed a small tool to understand existing system configuration and performance metrics that impact the sizing decision making process. After several years of attempting to extract configuration information, utilization metrics and software configuration information from partners or customers, I realized that having a small tool that could be easily shared with partners and customers to help und
Python ã®æ–°ã—ã„プãƒãƒ•ã‚¡ã‚¤ãƒ© vmprof ãŒé¢ç™½ã„ - methaneã®ãƒ–ãƒã‚°
PyPy 2.6 ã¨åŒæ™‚ã«ã€ vmprof ã¨ã„ㆠCPython/PyPy 用ã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ãŒç™»å ´ã—ã¾ã—ãŸã€‚ ç§ã¯ã¾ã PyPy ã§ã¯ä½¿ã£ã¦ã„ã¾ã›ã‚“ãŒã€CPythonã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã‚’ã“ã‚Œã§ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ«å–ã£ã¦ã¿ãŸã‚‰ãªã‹ãªã‹é¢ç™½ã‹ã£ãŸã®ã§ç´¹ä»‹ã—ã¾ã™ã€‚ æ¦‚è¦ Python ã«ã¯ã‚‚ã¨ã‚‚ã¨æ¨™æº–ライブラリã¨ã—ã¦ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ© (cProfile) ãŒä»˜ã„ã¦ãã¦ã„ã¾ã™ãŒã€ã“ã‚Œã¯é–¢æ•°ã®å‘¼ã³å‡ºã—ã¨æˆ»ã‚Šã§ã‚³ãƒ¼ãƒ«ãƒãƒƒã‚¯é–¢æ•°ã‚’呼ã³å‡ºã—ã¤ã¤å®Ÿè¡Œæ™‚間を計測ã™ã‚‹ã‚¿ã‚¤ãƒ—ã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã§ã€çŸæ™‚é–“ã§ã‚‚æ£ç¢ºãªãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ«ãŒå–れるåé¢ã€ã‚ªãƒ¼ãƒãƒ¼ãƒ˜ãƒƒãƒ‰ãŒå¤§ããã€å°ã•ã„関数をãŸãã•ã‚“呼ã³å‡ºã™éƒ¨åˆ†ãŒã‚ªãƒ¼ãƒãƒ¼ãƒ˜ãƒƒãƒ‰ã§ã‚ˆã‚Šå¤§ãã見ãˆã¦ã—ã¾ã†ãªã©ã®å•é¡ŒãŒã‚ã‚Šã¾ã—ãŸã€‚ ã“ã‚Œã¨åˆ¥ã®ç¨®é¡žã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã¨ã—ã¦ã€å®šæœŸçš„ã«ã‚µãƒ³ãƒ—リングã—ã¦ã€ã‚µãƒ³ãƒ—ルãŒå¤šã„ã¨ã“ã‚ãŒå®Ÿè¡Œæ™‚間も多ã„ãƒã‚ºã€ã¨ã„ã†ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã‚‚ã‚ã‚Šã¾ã™ã€‚ã“ã¡ã‚‰ã¯ã‚る程度ã®é‡ã®ã‚µãƒ³ãƒ—ルを集ã‚ãªã„ã¨
Pythonコードã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚° - shkh's blog
普段ã€Pythonã®ã‚³ãƒ¼ãƒ‰ã¯ä½•ã¨ãªã速ã‹ã‚ã†ã¨ã„ã†ã€è¨€ã£ã¦ã¿ã‚Œã°å‹˜ã§æ›¸ã„ã¦ã„ã‚‹ã®ã ã‘ã©ã€ãã®å‹˜ã¨ã‚„らã¯å¾€ã€…ã«ã—ã¦ã‚¦ãƒ³ã‚³ãƒ¼ãƒ‰ã‚’生むもã®ã§ã‚る。ãã“ã§ã€ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã‚’使ã£ã¦ã„ããŸã„ã¨æ€ã†ã€‚ 使ãˆãã†ãªãƒ„ール ãã†ã„ã†ã‚ã‘ã§ã€ã„ãã¤ã‹ä½¿ãˆãã†ãªãƒ„ールをリストアップã—ãŸã€‚ 経éŽæ™‚é–“ã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ© ツールå メモ profile ビルトイン, ピュアPythonã®æ±ºå®šè«–的プãƒãƒ•ã‚¡ã‚¤ãƒ© cProfile ビルトイン, Cæ‹¡å¼µã®æ±ºå®šè«–的プãƒãƒ•ã‚¡ã‚¤ãƒ© line_profiler è¡Œå˜ä½ã®æ±ºå®šè«–的プãƒãƒ•ã‚¡ã‚¤ãƒ© Plop 統計的プãƒãƒ•ã‚¡ã‚¤ãƒ©, Dropboxã®äººãŒä½œã£ã¦ã‚‹ statprof 統計的プãƒãƒ•ã‚¡ã‚¤ãƒ©, 開発åœæ¢ï¼Ÿ yep 拡張モジュール用ã®çµ±è¨ˆçš„プãƒãƒ•ã‚¡ã‚¤ãƒ©, ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã«google-perftools メモリã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ© ツールå メモ memory_profiler è¡Œå˜ä½ã§ãƒ¡ãƒ¢ãƒªæ¶ˆè²»é‡ã®
Guppy-PE: A Python Programming Environment
This is the home page for Guppy-PE , a programming environment providing object and heap memory sizing, profiling and analysis. It includes a prototypical specification language that can be used to formally specify aspects of Python programs and generate tests and documentation from a common source. Note that this package is for Python 2 only. Guppy 3, created by YiFei Zhu for Python 3 (recommende
PySizer - a memory profiler for Python
PySizer is a memory usage profiler for Python code. Warning: I haven't had much time to work on PySizer recently. Another (better-maintained) project with the same aim is Heapy. Downloading You can get version 0.1.1 in tar.gz or zip format. There's a win32 build for Python 2.4 here. 0.1.1 has bugfixes to 0.1 - in particular, a nasty bug which meant that copy and filterd were more or less broken. A
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GitHub - emeryberger/scalene: Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python
Bitbucket
GitHub - benfred/py-spy: Sampling profiler for Python programs
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NVIDIAã®ä¸ã®äººãŒè¶£å‘³ã§ä½œã£ãŸGPUã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ãƒ„ール「GPUProfilerã€ï¼CPUã€ãƒ¡ãƒ¢ãƒªã€GPUã€ãƒ•ãƒ¬ãƒ¼ãƒ ãƒãƒƒãƒ•ã‚¡ãƒ¼ã€ãƒ“デオエンコード・デコードã®åˆ©ç”¨çŽ‡ã‚’å–å¾—ã€ãƒ¬ãƒ“ュー】
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