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gpgpu-sim / gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.

▲ ~7/7d ★ 1.8k C++ 20d ago
taskflow / taskflow

A General-purpose Task-parallel Programming System in C++

▲ ~5/7d ★ 12k C++ 8d ago
google / highway

Performance-portable, length-agnostic SIMD with runtime dispatch

▲ ~5/7d ★ 5.9k C++ 1d ago
1115714829 / llama.cpp-v100

llama.cpp optimized for NVIDIA Tesla V100 (SM70): large MoE Qwen3.8-Flash-Next with MTP (prefill 3464 tok/s at 200K context, 6x V100-16GB) and Qwen3.8-27B with DFlash2 (decode up to 225 tok/s); 2-6 GPUs, 262K-512K context, multimodal, concurrent serving.

▲ ~5/7d ★ 47 C++ 6d ago
jfalcou / eve

Expressive Vector Engine - SIMD in C++ Goes Brrrr

▲ ~2/7d ★ 1.4k C++ 4d ago
TheHPXProject / hpx

The C++ Standard Library for Parallelism and Concurrency

▲ ~0/7d ★ 2.9k C++ today
AdaptiveCpp / AdaptiveCpp

Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!