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snort3

Snort++

sopaper

Automatically Search and Download Papers

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

sparsep

SparseP is the first open-source Sparse Matrix Vector Multiplication (SpMV) software package for real-world Processing-In-Memory (PIM) architectures. SparseP is developed to evaluate and characterize the first publicly-available real-world PIM architecture, the UPMEM PIM architecture. Described by C. Giannoula et al. [https://arxiv.org/abs/2201.05072]

sparsetir

SparseTIR: Sparse Tensor Compiler for Deep Learning

sparsetir-artifact

Repository for artifact evaluation of ASPLOS 2023 paper "SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning"

sparso

Julia package for accelerating sparse matrix applications.

sparta

spearmint

Spearmint Bayesian optimization codebase

spinlock

Different implementations of spinlock.

spright

sputnik

A library of GPU kernels for sparse matrix operations.

stream

STREAM benchmark

sysbench

tas

TAS is a drop-in highly CPU efficient and scalable TCP acceleration service.

test

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

the-omega-project

Tools from Pugh et al.'s "Omega Project" for constraint-based compiler tools: The "Omega Library" for constraint manipulation; The "Omega Calculator" (text interface); the "Omega Test" for depedence analysis; the "Uniform Library" for code transformation; and the "Code generation" library for generating the transformed code. I am experimenting with tracking bugs with Lighthouse, but am not yet sure I've got it configure right --- see http://davew_haverford.lighthouseapp.com/projects/13658-the-omega-project/overview (if you can; if you can't, email [email protected]).

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

tiramisu

A polyhedral compiler for expressing fast and portable data parallel algorithms

tnoc

Network on Chip Implementation written in SytemVerilog

torch-blocksparse

Block-sparse primitives for PyTorch

torch-int

This repository contains integer operators on GPUs for PyTorch.

torchpq

Efficient implementations of Product Quantization and its variants using Pytorch and CUDA

torchscript-to-tvm

tpu

Reference models and tools for Cloud TPUs.

transformerengine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference.

trema

Full-Stack OpenFlow Framework in Ruby

trex-stateless-gui

TRex stateless GUI

triton

Triton is a Dynamic Binary Analysis (DBA) framework. It provides internal components like a Dynamic Symbolic Execution (DSE) engine, a Taint Engine, AST representations of the x86 and the x86-64 instructions set semantics, SMT simplification passes, an SMT Solver Interface and, the last but not least, Python bindings.