VMAGI
Write a performant emulator in 24 hours! (by thecsw)
sha256-simd
Accelerate SHA256 computations in pure Go using AVX512, SHA Extensions for x86 and ARM64 for ARM. On AVX512 it provides an up to 8x improvement (over 3 GB/s per core). SHA Extensions give a performance boost of close to 4x over native. (by minio)
| VMAGI | sha256-simd | |
|---|---|---|
| 1 | 3 | |
| 6 | 942 | |
| - | 1.6% | |
| 1.8 | 1.0 | |
| about 2 years ago | 12 months ago | |
| Go | Go | |
| - | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
VMAGI
Posts with mentions or reviews of VMAGI.
We have used some of these posts to build our list of alternatives
and similar projects.
sha256-simd
Posts with mentions or reviews of sha256-simd.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-03.
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The Curious Case of MD5
BLAKE3 is faster than hardware accelerated SHA-2 because the tree mode used in BLAKE3 allows hashing parts of a single message in parallel (with SHA-2, parts of a single message have to be hashed one after another, and parallelism is only used in workloads where you process multiple messages at the same time).
https://github.com/minio/sha256-simd
https://github.com/BLAKE3-team/BLAKE3
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Can I concatenate multiple non-crypto hash functions to reduce collision?
SHA256 is high quality but typically a bit slower. Next Go version will have faster SHA256 on some amd64 CPUs - until then you can try sha256-simd which offers the same.
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I need to find a custom hexadecimal string that when encrypted starts with a certain specific hexadecimal string(77656e6f7469 in our case). I tried randomly generating strings encrpyting them and checking them, realized it would take too much time. Any help?
I am not sure, if you can achieve a reasonable speed with Python though. You probably have to use a compiled language or run it on GPU. I found this very fast implemenation in Go which uses special CPU instructions (the AVX2 or SHA extensionsm depending on your CPU model) to speed up the calculation: https://github.com/minio/sha256-simd
What are some alternatives?
When comparing VMAGI and sha256-simd you can also consider the following projects:
asm - Go library providing algorithms optimized to leverage the characteristics of modern CPUs
xxh3 - XXH3 algorithm in Go
asm - Learning assembly for linux-x64
avo - Generate x86 Assembly with Go
cpu - cpu command in Go, inspired by the Plan 9 cpu command
tinyfont - Text library for TinyGo displays
opossum - Rudimentary web browser written in Golang
photoscope - Journey into photo management with golang
go-highway - Go implementation of Google's HighwayHash
NFF-Go - NFF-Go -Network Function Framework for GO (former YANFF)