Result for 1B4D2889347EF90559C9BAF9B7C5A84B47FE8EB8

Query result

Key Value
FileName./usr/share/doc/coz-profiler/copyright
FileSize4839
MD56949F5888D497E8D3142C37B5793A47A
RDS:package_id182052
SHA-11B4D2889347EF90559C9BAF9B7C5A84B47FE8EB8
SHA-2560662AC496B72FBFB9D2AB22B27CE6DAC96B4C3B9A0153749EA59956A31F24AC1
SSDEEP96:ks+nAorYJIrYJ6/Va3O3Vl459+GqYrYJAhnI3avT3ik3zX2ChIGOrgJjJzft3iRo:AAorsIrs4Va3O3TSgNYrs0IKb3ik3j2Y
TLSHT1F7A1E94F26844BF35BD117803A66AEC0B549D03D3B239E0D2CBDE285AF3B12ED5B6454
insert-timestamp1679423533.3870447
sourceRDS.db
hashlookup:parent-total33
hashlookup:trust100

Network graph view

Parents (Total: 33)

The searched file hash is included in 33 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
FileSize651410
MD5E56C7FF140346B89AF5B01EFCADEEAEC
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
PackageVersion0.1.0-1
SHA-105FB2A1CEF961B86F225201FB721443060B3FE04
SHA-256D3A788C77C71D63AC23E4F54A13F22BF4D3F0256B1BE870CFF882AF8324A275D
Key Value
FileSize647558
MD5C7226913A0DAD99E3735764E01DA6DD4
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
PackageVersion0.1.0-1
SHA-108559DEBE1FCBB032DD4F987B3B5A1A2FDA80988
SHA-256F17ACA96812F794B2BE6BD5FBE9E399DCF9870FEF89D2CF83F43C37342DA7538
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
FileSize652034
MD57F0C7EA850887A1B6A7DF356E5A30E7E
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
PackageVersion0.1.0-1ubuntu1
SHA-1228EDCBED19212C740ABF4FF30CAD212197BC0DE
SHA-256FF375853DE07ECDCE97A73FB3A3AE1191B2DBFAF13FA2D9C4FE223690931FB73
Key Value
FileSize652624
MD567ACC54527AF7303F928D9C60D9DBAC3
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
PackageVersion0.1.0-1ubuntu1
SHA-12B642DC6C2FDE9FC195C8A72572FBE1A98C3276D
SHA-256E3011CAF1E4C78923CAF7BBF28FC2198C3FF3E6E892B04F7DD941EFA43F49C8B
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
FileSize648196
MD53434B738BB9A2BBA98B9FFCF707B4E73
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
PackageVersion0.1.0-1
SHA-131B607E819EE8FA97987FE86FA2ACBE1FC5FC58E
SHA-256AC254754A84F13483A827F9516F89AB1A5146B57A8EEC212099CFCF501EA0519
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
FileSize650392
MD5C98F99E3788E7345C06A5EDB62A4F167
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
PackageVersion0.1.0-1ubuntu1
SHA-1355E55F1507BDCAD27427B2DF50A5AEB65976710
SHA-2560C38664CF2BE26AFCE0C52C0EF7495A6C93A1490C4417E41EF06239C368734A9