Search Results for "linux-tools" - Page 2
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Showing 71 open source projects for "linux-tools"
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Welcome to IgProf, the ignominious profiler. IgProf is a simple nice tool for measuring and analysing application memory and performance characteristics. IgProf requires no changes to the application or the build process.
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This project is a tool for beginners to understand why a MPI program works or doesn't. It aims simple MPI codes, with a modest number of Processes. It is a real time view of an executing code, providing help even when the program deadlocks.
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This is a simple C/C++ tool to exactly profile certain functions/blocks of code in a multithreaded application. In particular, this tool can be used to precisely measure overheads.
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runtimes invokes a program several times and prints real, user, and system CPU times. It also calculates average, variance and standard deviation of the run times.
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Fossa is a runtime CUDA memory extender for Linux. With fossa, users can run CUDA applications that require more than the available amount of GPU memory. Fossa is targeted toward command line driven applications.
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Note: this tool has moved to github, this repository is not maintained any more. See https://github.com/turdusmerula/ftrace GScopeLog is a tool for instrumenting c++ code through gcc. The main purpose is to trace entry/exit point of functions. A status file may be generated to give overview of functions calls and timing informations with minimal impact on performances.
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It's a integrated performance analysis tool with GUI, which is integrated with various utilities such as strace, Gcov, Gprof, proc etc which are open released and are for analyzing performance of linux system
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An implementation of the Open Group's Application Response Measurement (ARM) Version 4 standard. The ARM standard describes a means of breaking an application down into it's constituent transactions, and measuring response time across multiple tiers.
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JSysmon is a Java library providing access to system information like CPU or Memory usage on various platforms using native calls. It can be used to build cross-platform monitors in your applications.
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The DTraceToolkit is a collection of over 200 useful documented scripts for analysis of system and process behaviour. It allows in-depth inspection without disturbance of the system.
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Foo Test is a small, fast C-function unit testing project. It is capable of both benchmarking and validating C-functions while writing most of the test code through an easy perl script, and all the developer needed code can be added to a single file.
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Function call tracing in the Linux kernel and userspace applications. Dynamically sets probes (using VProbes, a KProbes variant) and displays the function call trace of a process calling kernel or application functions. The superior of strace and ltrace.
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MemTrace is a tool for tracking memory errors (memory leaks, double frees, memory overflows, etc.) in C/C++ programs, and requires no change to existing source code to use.
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A test suite and benchmark for exact Euclidean distance transform algorithms used in Image Processing and computational geometry. It evaluates the exactness and speed of algorithms for a large number of test cases. Results can be visualized in Scilab.
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ebizzy is designed to generate a workload resembling common web application server workloads. It is highly threaded, has a large in-memory working set, and allocates and deallocates memory frequently.
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Elefant is an user-friendly memory profiler for Linux :) This project was made possible by the support of SentinelBox (http://www.sentinelbox.com)
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Dynamic Probe Class Library (DPCL) is an object based C++ class library that provides the necessary infrastructure to allow tool developers and sophisticated tool users to build parallel and serial tools through technology called dynamic instrumentation.
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Wraper for memmory allocation function ( {c,m}alloc and free) providing information about memmory leaks, double and invalid free.
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smem-map is a tool used to profile a process's virtual memory to identify address ranges who's contents remain static.
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SLO profiles the data locality in your program, and afterwards suggests refactorings that can improve that data locality, leading to fewer cache misses and faster execution.
