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zhangdanfeng's Projects

asmjit icon asmjit

Complete x86/x64 JIT and AOT Assembler for C++

blas-tester icon blas-tester

a tester for BLAS libraries including OpenBLAS and Intel MKL. This project is based on ATLAS BLAS Tester

blis icon blis

BLAS-like Library Instantiation Software Framework

bolt icon bolt

10x faster matrix and vector operations.

capstone icon capstone

Capstone disassembly/disassembler framework: Core (Arm, Arm64, BPF, EVM, M68K, M680X, MOS65xx, Mips, PPC, RISCV, Sparc, SystemZ, TMS320C64x, Web Assembly, X86, X86_64, XCore) + bindings.

clpeak icon clpeak

A tool which profiles OpenCL devices to find their peak capacities

cnc-ddraw icon cnc-ddraw

GDI, OpenGL and Direct3D 9 re-implementation of the DirectDraw API for classic games for better compatibility with Windows 2000, XP, Vista, 7, 8, 10, 11, Wine (Linux/macOS) and Virtual Machines

composable_kernel icon composable_kernel

Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators

coriander icon coriander

Build NVIDIA® CUDA™ code for OpenCL™ 1.2 devices

cpufp icon cpufp

A CPU tool for benchmarking the peak of floating points

cython-blis icon cython-blis

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

distributed-llama-mpi icon distributed-llama-mpi

Run LLMs on weak devices or make powerful devices even more powerful by distributing the workload and dividing the RAM usage.

dso icon dso

Direct Sparse Odometry

fbgemm icon fbgemm

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

fmm-gen icon fmm-gen

Generating Families of Practical Fast Matrix Multiplication Algorithms

gemma.cpp icon gemma.cpp

lightweight, standalone C++ inference engine for Google's Gemma models.

glsl-shaders icon glsl-shaders

This repo is for glsl shaders converted by hand from libretro's common-shaders repo, since some don't play nicely with the cg2glsl script.

laser icon laser

The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

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