Software Development Team

Login: softdevteam

Company: null

Location: London

email:

Blog: http://soft-dev.org

Members

  1. Sarah Mount

Repositories

cactus
Immutable cactus stack
cfgrammar
Context free grammar handling for Rust
cli-pdb-repl
A command-line interface for the Python debugger
diffract
A Rust implementation of the GumTree differ
eco
Editor for language composition
error_recovery_experiment
null
error_recovery_paper
null
grammars
A collection of language grammars for `lrpar`
grass
null
guard-compatible-benchmarks
null
gumtree
A neat code differencing tool
hwtracer
Trace a program using CPU tracer technology.
kaktus
Rust Parent-Pointer-Tree
krun
Soft-dev benchmark runner in Python.
krun-linux-kernel
Cusomised Linux Kernel for use with Krun
libkalibera
libkalibera
llrm
The Low Level RPython Machine: A RPython interpreter for LLVM bytecode.
lrlex
A simple lexer in Rust
lrpar
Rust LR parser
lrtable
Rust LR parser table generator
lspace
L-Space presentation system in Rust
lua_benchmarking
Lua benchmark suite
LuaJIT
Mirror of the LuaJIT git repository
LuaJIT-test-cleanup
Cleanup Workspace for LuaJIT tests
mattermost-github-integration
GitHub integration for Mattermost
minimal-idiomatic-rust-gtk
A minimal example of a GTK applicaiton in (as) idiomatic (as possible) Rust
moss
null
pathfinding
Pathfinding library for rust
processor-trace
libipt - an Intel(R) Processor Trace decoder library
pyhyp_experiments
PyHyp experiments.
rmsr
The Linux msr(4) driver minus capabilities(7).
sd-fetch-v8
Helpers to set up and build soft-dev v8 fork
simple_stack_interp
null
softdevbib
soft-dev.org BibTeX
unipycation_examples
Examples for the Unipycation VM
user_rdpmc
Enable RDPMC from Linux userspace.
v8
The softdev mirror of official mirror of the V8 git repository
vob
Vector of Bits
warmup_experiment
Experiment designed to investigate JIT warmup times.
warmup_paper
Warmup paper
warmup_stats
A VM performance data analysis system
yorickrt
Runtime JIT support for Yorick.
yorick_rustc
A safe, concurrent, practical language.
zhang-shasha
Tree edit distance using the Zhang Shasha algorithm
This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.