NVIDIA's CUDA platform for Rust. Host runtime crates plus Tile (cutile-rs) and SIMT (cuda-oxide) kernel programming models in idiomatic Rust.
LLM speculative inference server for heterogeneous hardware & consumer GPUs
A curated list of awesome parallel computing resources
📚 计算机体系结构与C++书籍收集(持续更新)
Compare and test GPU programming frameworks / Comparaison d'outils pour GPU
CHARM: Composing Heterogeneous Accelerators on Heterogeneous SoC Architecture
A mixed-criticality platform built around Cheshire, with a number of safety/security and predictability features. Ready-to-use FPGA flow on multiple boards is available.
Heterogeneous Research Platform (HERO) for exploration of heterogeneous computers consisting of programmable many-core accelerators and an application-class host CPU, including full-stack software and hardware.
Concurrent CPU-GPU Programming using Task Models
Educational distributed training and inference library for heterogeneous local hardware: Mac minis, Raspberry Pis and GPUs over plain Python sockets. FSDP, GRPO, parameter-server, expert and data parallelism.
Monte Carlo eXtreme for OpenCL (MCXCL)
a unified cross-architecture heterogeneous CFD solver
Open-source bring-up + verified matmul on the first-gen AMD XDNA1 (Phoenix/Hawk Point) NPU on Linux — the gen FastFlowLM/Lemonade skip. RyzenAI-npu1, mlir-aie/IRON, XRT.
Data Parallel Extensions for Python*
"Optimizing Performance and Energy Efficiency in Massively Parallel Systems" PhD Dissertation repository.
AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP (Full Paper accepted to ICCAD2023)!
🧠 One LLM, split across a Mac (Apple MPS) + a Windows PC (NVIDIA CUDA) — heterogeneous pipeline inference over a framework-neutral wire, bit-for-bit identical to single-machine. No torch.distributed, no datacenter.
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