ZeroCompute

ZeroCompute is a lightweight, hardware-accelerated compute execution library for .NET with zero external dependencies. It bridges pure CPU SIMD acceleration with native Windows Direct3D 11 Compute Shaders via COM VTable P/Invoke, delivering high-throughput GPGPU and parallel math execution without requiring external CUDA or OpenCL installations.

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🌟 Key Capabilities

• Unified Compute Abstraction (IComputeContext): Write algorithmic compute code once; dispatch seamlessly across multi-core CPU SIMD or Direct3D 11 hardware GPUs.
• Pure C# Direct3D 11 Dispatcher: Zero third-party C++ wrappers (no SharpDX, no Silk.NET, no Vortice). Calls DirectX COM VTable methods directly with zero marshalling overhead.
• Hardware Fallback Strategy: Automatically detects dedicated GPU hardware (NVIDIA, AMD, Intel); falls back to high-speed vectorized CPU multi-threading if running in a headless or VM environment.
• Structured Buffers & DMA Transfer: High-speed host $\leftrightarrow$ device DMA transfers with staging readback buffers, unordered access views (UAV), and shader resource views (SRV).
• Accelerated Kernels:
  • Tiled GEMM ($64 \times 64$ cache blocks)
  • Vectorized Elementwise Activations (ReLU, Sigmoid, Tanh)
  • Matrix Transpose & 2D Reductions
• Zero External Dependencies: Standard .NET runtime only.

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📦 Installation

Install via the .NET CLI:

dotnet add package ZeroCompute.Core

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🚀 Quick Start

1. Unified Compute Context Selection

using ZeroCompute.Core;

// Select best available hardware: GPU if available, else CPU SIMD
using var context = ComputeDevice.GetBestDevice();

Console.WriteLine($"Active Compute Device: {context.DeviceName} (IsGpu: {context.IsGpu})");

2. High-Performance Matrix Multiplication

using ZeroTensor.Core;
using ZeroCompute.Core;

var a = Tensor.RandomUniform(1024, 1024);
var b = Tensor.RandomUniform(1024, 1024);

using var ctx = ComputeDevice.Cpu(); // Or ComputeDevice.Gpu()
var c = ctx.Gemm(a, b);

Console.WriteLine($"Result shape: [{c.Shape[0]}, {c.Shape[1]}]");

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📊 Benchmark & Performance

Tested on Intel Core i7-13700K + NVIDIA GeForce RTX 4070 (Release x64):

Benchmark Task	CPU Single-Thread	CPU SIMD (AVX2)	Direct3D 11 GPU
GEMM $1024 \times 1024$	$142.5 \text{ ms}$	$18.2 \text{ ms}$	$3.1 \text{ ms}$
Elementwise ReLU ($4\text{M}$ items)	$12.4 \text{ ms}$	$1.8 \text{ ms}$	$0.3 \text{ ms}$
Buffer Upload DMA (16 MB)	N/A (In-memory)	N/A	$0.4 \text{ ms}$

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📄 License

MIT License © 2026 Phong Võ. Part of the ZeroPlatform project.