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OTN Japan マニュアル
How Memory Allocation Affects Performance in Multithreaded Programs by Rickey C. Weisner, March 2012 If your application does not scale on new multiprocessor, multicore, multithread hardware, the problem might be lock contention in the memory allocator. Here are the tools to identify the issue and select a better allocator. Introduction Your new server has just gone into production. It has multipl
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LeakCanaryã§ãƒ¡ãƒ¢ãƒªãƒªãƒ¼ã‚¯ã‚’検出ã™ã‚‹ - Qiita
LeakCanary SquareãŒãƒ¡ãƒ¢ãƒªãƒªãƒ¼ã‚¯ã‚’検出ã™ã‚‹ãƒ©ã‚¤ãƒ–ラリ square/leakcanary を公開ã—ãŸã®ã§ã€ã•ã£ãã使ã£ã¦ã¿ãŸã‚‰ã™ã”ã便利ã ã£ãŸè©±ã§ã™ã€‚ A small leak will sink a great ship PiwaiãŒæ›¸ã„ãŸLeakCanaryã®è¨˜äº‹ãŒã“ã¡ã‚‰ã§ã™ã€‚ LeakCanary: Detect all memory leaks! è¦ç´„ã™ã‚‹ã¨ã€ Squareã§ã¯ãƒ“ットマップã‚ャッシュã«é¡§å®¢ã®ç½²åを書ã„ã¦ã„ãŸãŒã€ç«¯æœ«ã®ç”»é¢ã®ã‚µã‚¤ã‚ºåˆ†ã®ãƒ¡ãƒ¢ãƒªã‚’確ä¿ã™ã‚‹ã®ã§ã€ç½²åã‚’ã™ã‚‹ã¨ãã«ã‚¯ãƒ©ãƒƒã‚·ãƒ¥ã™ã‚‹ã“ã¨ãŒã‚ã‚Šã€ãã‚ŒãŒOOMã®å¤§åŠã‚’å ã‚ã¦ã„ãŸã€‚ Bitmap.Configを変更ã—ãŸã‚Šã€OOMã‚’ã‚ャッãƒã—ã¦GCを走らã›ãŸã‚Šã—ãŸãŒã€å•é¡Œã®è§£æ±ºã«ã¯è‡³ã‚‰ãªã‹ã£ãŸã€‚ 我々ã¯é–“é•ã£ãŸã‚¢ãƒ—ãƒãƒ¼ãƒã‚’å–ã£ã¦ã„ãŸã“ã¨ã«æ°—ãŒä»˜ã„ãŸã€‚ビットマップã®å¤§ãã•ã§ã¯ãªãメモリリークãŒæ ¹æœ¬çš„ãªåŽŸå› ã ã£
Allocators in Rust · baby steps
This blog is where I post up various half-baked ideas that I have. All PostsCategoriesGitHubTwitterRSS/Atom feedsSelected posts: The borrow checker withinEmpathy in open source: be gentle with each other There has been a lot of discussion lately about Rust’s allocator story, and in particular our relationship to jemalloc. I’ve been trying to catch up, and I wanted to try and summarize my understan
How The Kernel Manages Your Memory
After examining the virtual address layout of a process, we turn to the kernel and its mechanisms for managing user memory. Here is gonzo again: Linux processes are implemented in the kernel as instances of task_struct, the process descriptor. The mm field in task_struct points to the memory descriptor, mm_struct, which is an executive summary of a program's memory. It stores the start and end of
The Calibrator (v0.9e), a Cache-Memory and TLB Calibration Tool
The Calibrator (v0.9e), a Cache-Memory and TLB Calibration Tool Introduction The Source Code and how to compile it Binary Executables How to use The Calibrator Sample Output The Calibrated Hardware Database Request for Contributions and Feedback 1. Introduction The Calibrator is a small C program that is supposed to analyze a computers (cache-) memory system and extract the following parameters: n
E5-2600 ã®â€œç¾Žå‘³ã—ã„â€ãƒ¡ãƒ¢ãƒªãƒ¼æ§‹æˆ - Cisco Learning Network Mobile
インテル® Xeon® プãƒã‚»ãƒƒã‚µãƒ¼ E5-2600 ã‚’æ載ã—ãŸCisco UCS B200 M3 ã‚„ C220 M3ã€C240 M3ã€ã¾ãŸã¾ãŸã‚·ã‚¹ã‚³ã«é™ã‚‰ãšã€E5-2600 ã‚’æ載ã—ã¦ã„ã‚Œã°ã©ã“ã®ãƒ™ãƒ³ãƒ€ãƒ¼ã®ã‚µãƒ¼ãƒãƒ¼ã§ã‚ã£ã¦ã‚‚ã€ãƒ¡ãƒ¢ãƒªãƒ¼ã®æ§‹æˆã«ã¯ã‚¹ã‚¤ãƒ¼ãƒˆã‚¹ãƒãƒƒãƒˆï¼ˆâ€œç¾Žå‘³ã—ã„â€æ§‹æˆï¼‰ãŒã‚ã‚Šã¾ã™ã€‚ 例ãˆã°ã€VMware vSphere ã‚’ Enterprise Plus ライセンスã§ä½¿ã†ã¨ã—ã¦ã€E5-2690 ã‚’ 2 基æ載ã—ãŸã‚µãƒ¼ãƒãƒ¼ã§ 192GB ã®ãƒ¡ãƒ¢ãƒªãƒ¼ã‚’æ載ã—ãŸã„å ´åˆã€8GB ã®DIMM ã‚’24枚（8GB x24枚）ã§ã‚‚ã€16GB ã® DIMM ã‚’12枚（16GB x12枚）ã§ã‚‚ 192GB ã«ãªã‚Šã¾ã™ã€‚ã—ã‹ã—ã€æ€§èƒ½é¢ã‹ã‚‰ã™ã‚‹ã¨ã€ã©ã¡ã‚‰ã‚‚美味ã—ã„構æˆã§ã¯ã‚ã‚Šã¾ã›ã‚“。ã§ã¯ã€ä¸€ç•ªç¾Žå‘³ã—ã„構æˆã¯ä½•ã§ã—ょã†ã‹ã€‚ç”ãˆã¯ã€16GB ã® DIMM ã‚’ 8 æžšã€8GB ã® DIMM ã‚’ 8 æžšã§ã™ã€‚
.NET Memory Profiler - Find Memory Leaks and Optimize Memory Usage in Programs Written in C#, VB.NET or any other .NET Language
Find Memory Leaks and Optimize Memory Usage in any .NET Program .NET Memory Profiler is a powerful tool for finding memory leaks and optimizing the memory usage in programs written in C#, VB.NET or any other .NET Language. With the help of the profiling guides, the automatic memory analyzer, and specialized trackers, you can make sure that your program has no memory or resource leaks, and that the
Memory Access Patterns Are Important
In high-performance computing it is often said that the cost of a cache-miss is the largest performance penalty for an algorithm. Â For many years the increase in speed of our processors has greatly outstripped latency gains to main-memory. Â Bandwidth to main-memory has greatly increased via wider, and multi-channel, buses however the latency has not significantly reduced. Â To hide this latency our
The Case for RAMClouds: Scalable High-Performance Storage Entirely in DRAM
Appears in SIGOPS Operating Systems Review, Vol. 43, No. 4, December 2009, pp. 92-105 The Case for RAMClouds: Scalable High-Performance Storage Entirely in DRAM John Ousterhout, Parag Agrawal, David Erickson, Christos Kozyrakis, Jacob Leverich, David Mazières, Subhasish Mitra, Aravind Narayanan, Guru Parulkar, Mendel Rosenblum, Stephen M. Rumble, Eric Stratmann, and Ryan Stutsman Department of Com
新・ソートã«é–¢ã™ã‚‹æ¤œè¨¼ã€€ãã®ï¼– - InsightTechnology 旧ブãƒã‚°
＜新・ソートã«é–¢ã™ã‚‹æ¤œè¨¼ã€€ãã®ï¼–＞ ペンãƒãƒ¼ãƒ 　グリーンペペ 今回ã¯å®Ÿè·µç·¨ã§ã™ã€‚ 実例を元ã¨ã—ãŸæ¤œè¨¼ã‚’è¡Œã„ã¾ã™ã€‚ □背景 ã‚るシステムã«ãŠã„ã¦ã€åŒä¸€å‡¦ç†ãƒã‚¸ãƒƒã‚¯ã‚’è¡Œã£ã¦ã„ã‚‹ã«ã‚‚é–¢ã‚らãšã€ã‚る特 定ã®ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã®ã¿ã€å®Ÿè¡Œæ™‚é–“ãŒå€ä»¥ä¸Šã‹ã‹ã£ã¦ã—ã¾ã£ã¦ã„ã¾ã™ã€‚ 調査を進ã‚ã¦ã„ãã¨ã‚½ãƒ¼ãƒˆå‡¦ç†ã‚’è¡Œã£ã¦ã„ã‚‹SQLæ–‡ãŒæ‚ªã•ã‚’ã—ã¦ã„るらã—ã„ã“ ã¨ãŒåˆ¤æ˜Žã—ã¾ã—ãŸã€‚ 早速ã€ã‚½ãƒ¼ãƒˆé–¢é€£ã®è¨å®šã‚’確èªã—ã¦ã¿ã¾ã™ã€‚ □環境 OS:Red Hat Linux release 7.1 Oracle:9.2.0.1 â–¡å•é¡Œç‚¹ã®åˆ‡ã‚Šåˆ†ã‘　ãã®ï¼‘â–¡ ï¼ åˆæœŸåŒ–パラメタã®ç¢ºèª SQL> select name,value from v$parameter where name in ('workarea_size_policy','pga_aggregate_target') or name like 'sort%'; NAME
Using Intel® Hyper-Threading Technology| Intel® Math Kernel Library for macOS
Using Intel.com Search You can easily search the entire Intel.com site in several ways. Brand Name: Core i9 Document Number: 123456 Code Name: Emerald Rapids Special Operators: “Ice Lakeâ€, Ice AND Lake, Ice OR Lake, Ice* Quick Links You can also try the quick links below to see results for most popular searches. Product Information Support Drivers & Software
Effective Use of the Shared Cache in Multi-core Architectures
Effective Use of the Shared Cache in Multi-core Architectures By Tian Tian and Intel Corp., January 23, 2007 Tian Tian of Intel provides some guidelines on what to do and what to avoid when implementing shared cache in your multi-core based design. While traditional single core systems employ a dedicated cache, the introduction of multi-core platforms presents the opportunity to consider the share
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NVML API Reference Guide :: GPU Deployment and Management Documentation
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On the Effects of Memory Latency and Bandwidth on Supercomputer Application Performance
Intel Press - VTune™ Performance Analyzer Essentials
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