Result for 03C9C83DA13804EED15BF0A01C9AB2F66E7D4110

Query result

Key Value
FileName./usr/share/doc/coz-profiler/changelog.Debian.gz
FileSize1323
MD55DFD4D2DC311C82898394AAFB38B6599
SHA-103C9C83DA13804EED15BF0A01C9AB2F66E7D4110
SHA-256A380B60BDFC36961E6667D9A3CF70B0D1CCF9739BA990D0B9E3AA6A0A749B5E6
SSDEEP24:XVyEj4BpUtumshSB4TnSrzXfEfItO3ae2aSrLQkWFgXQzILSNOCcblopXEEf7X46:XcE8ctct4fEQo37rTzFgtL3Q0iLSIB
TLSHT1AB212EC6D2065C0C0784E9EA997D3BD016F39017FE616C86B3512557C03ED3113845C8
hashlookup:parent-total16
hashlookup:trust100

Network graph view

Parents (Total: 16)

The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize647332
MD5A6A5E89F5C68F9D131F72307BD43BB11
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.1.0-2
SHA-1021D6991FC0465DEB7E2A212113C9ECCA2498620
SHA-2563734F86709CA4188DF2B2384AD3393B16C1868BA6F644F919051FA2168AA31BF
Key Value
FileSize653100
MD590BF8947685C7832E9DE75DF9CA6B179
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <vilanova@ac.upc.edu>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.1.0-2
SHA-11096960EB9B0C68FB84291BC4671C9F4D52FE350
SHA-256B37C14F59CBE93799C0E9773EABFB8E09956FF6C7AA4985E22CBA9F92F2AA5CE
Key Value
FileSize653238
MD51143FD34CD1FB561C3A8257AECB7A3B9
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.1.0-2
SHA-12C4F3BC0752B92499737DBB1CCDA1F7DB733A475
SHA-25684E67C79263E3F06EC2D93C1EB296CBB07CBA3E9231652BEE44891E32DC79C08
Key Value
FileSize656772
MD53467A53E55025DF2FB6B78790A570BBB
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.1.0-2
SHA-1338E16A37F85F13B91C1FEA1444AB64EEB50251D
SHA-2564B8123BB0F5A41455828FBFF57C96B7B15EB6F160D24BA2ECD19E19161417C4B
Key Value
FileSize647946
MD5BA007358DA9415CBAE5453D3082BCEB5
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <vilanova@ac.upc.edu>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.1.0-2
SHA-13FD8E114BE7D5D48AE59E565946EF13767D65143
SHA-25691D5B0F00BD01C48D11CB40DA44369BB9FFEF9358A303FCFC9A4F77DAA2138EF
Key Value
FileSize646798
MD53A6317541C5E117F6D25BFAD4A5EF4CA
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <vilanova@ac.upc.edu>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.1.0-2
SHA-147DB411B64A7D8685DD508F0CB0291A8FDC14EC4
SHA-2565172AB25F325DB2BB3C30D5AE496D4E03386326C1D7050E8990727611421C1AB
Key Value
FileSize653290
MD539C5F09A3147EBB1B55895BE6B23F61C
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <vilanova@ac.upc.edu>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.1.0-2
SHA-14EAA450D50AE2B7B7A29612AC9A5BCDD06B78C82
SHA-25665EE4C845E5FBCB7D0D5836285DD344BD9073E49D5529FBB7602B5C6C1EE571C
Key Value
FileSize651874
MD5C3F6C311D6ADB9BBDD036623C23B6580
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.1.0-2
SHA-1545566A6BF565171F80BECD01B5ECE56C0AACF91
SHA-256793ADC0C420B456A8ABEDB74541796E57CBD2D62D482255E3C2B0927ED59BF8B
Key Value
FileSize649584
MD548FD6406FEC5A9CBCE0C0EEAA830DA37
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.1.0-2
SHA-15F08DEA54795F36FBAAAB2220618448D7E0DDD8E
SHA-256E62769A044D24F8669A68605B2D5725C77FBF5F3AFCAC477E8F177B14B344637
Key Value
FileSize647332
MD5FB220438AEF5C31E01D5A8837AC68161
PackageDescriptionFinding Code that Counts with Causal Profiling Coz is a code profiler that find optimization opportunities missed by traditional profilers. Coz employs a technique called causal profiling that measures optimization potential. This measurement matches developers' assumptions about profilers: that optimizing highly-ranked code will have the greatest impact on performance. Causal profiling measures optimization potential for serial, parallel, and asynchronous programs without instrumentation of special handling for library calls and concurrency primitives. Instead, a causal profiler uses performance experiments to predict the effect of optimizations. This allows the profiler to establish causality: "optimizing function X will have effect Y," exactly the measurement developers had assumed they were getting all along.
PackageMaintainerLluís Vilanova <vilanova@ac.upc.edu>
PackageNamecoz-profiler
PackageSectiondevel
PackageVersion0.1.0-2
SHA-15FAA48978770111CF62F244B74ECF4BA76E5EBA8
SHA-256C2D52E1A50A44BD252215167489A654ED8163E70D154AAC2F9242395E7B9AC64