使用稠密算力卡对稀疏大显存主机进行加速,主机包括 AI Max+ 395、M3 512G、DGX Spark 等。
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.
A General-purpose Task-parallel Programming System in C++
oneAPI Threading Building Blocks (oneTBB)
Performance-portable, length-agnostic SIMD with runtime dispatch
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.
Expressive Vector Engine - SIMD in C++ Goes Brrrr
The C++ Standard Library for Parallelism and Concurrency
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!