Dew.Lab.Studio.Linux bundles the native-accelerated Linux editions of the Dew libraries: Dew.Math.Linux, Dew.Signal.Linux, and Dew.Stats.Linux. This package is intended for Linux desktops, servers, HPC clusters, and container-based compute environments requiring high numerical throughput and scalable parallel execution. Included Components: - Dew.Math.Linux: dense and sparse linear algebra (BLAS/LAPACK, Pardiso, UMFPACK), complex arithmetic, interpolation and splines, spectral and polynomial transforms, optimization, curve fitting, special function library, numerical integration/differentiation - Dew.Signal.Linux: FIR/IIR filtering, FFT and spectral analysis, convolution/correlation, windowing, resampling, time-frequency transforms, streaming-friendly DSP operations - Dew.Stats.Linux: probability distributions, random sampling, inference tests, regressions, statistical modeling and simulation workflows Performance Architecture: - Native-accelerated BLAS/LAPACK for Linux - CPU feature dispatch (AVX / AVX2 / AVX-512) - Scalable multithreading with low-GC memory allocator - Optional OpenCL GPU acceleration when available Use Dew.Lab.Studio.Linux when you require a unified math + DSP + statistics environment on Linux, with full native acceleration and container/HPC-friendly runtime deployment.
Get Started
$ dotnet add package Dew.Lab.Studio.LinuxReadme
Dew.Lab.Studio.Linux
High-performance numerical, signal-processing, and statistical computing kit for Linux.
Dew.Lab.Studio.Linux bundles:
- Dew.Math.Linux
- Dew.Signal.Linux
- Dew.Stats.Linux
These provide native-accelerated computation for HPC clusters, servers, scientific research systems, container-based analytics, real-time instrumentation, and large-scale DSP workflows.
Included Components
| Library | Purpose |
|---|---|
| Dew.Math.Linux | Dense and sparse linear algebra, solvers, special functions, optimization |
| Dew.Signal.Linux | FIR/IIR filtering, FFT/CZT, spectral analysis, resampling, streaming DSP |
| Dew.Stats.Linux | Distributions, regressions, hypothesis testing, simulation, statistical inference |
Drop-in Replaceable Across Platforms
Dew.Lab.Studio, Dew.Lab.Studio.Linux, and Dew.Lab.Studio.Core share:
- Identical namespaces
- Identical class names
- Identical API signatures
This allows platform-switching without code changes.
Typical workflow:
Develop on Windows: Install: Dew.Lab.Studio
Deploy to Linux: Uninstall: Dew.Lab.Studio Install: Dew.Lab.Studio.Linux Rebuild and run
Or build against Dew.Lab.Studio.Core for maximum compatibility and switch to Dew.Lab.Studio or Dew.Lab.Studio.Linux only at deployment time.
Platform Notes
- Targets: netstandard2.0, net8.0, net9.0
- Acceleration supports: AVX2 and AVX512 CPUs
- Confirmed distributions:
- RHEL / Rocky / Alma 7.x, 8.x, 9.x
- Ubuntu LTS 18.04+
- Debian 10+
- Suitable for: Docker, Podman, Kubernetes, HPC schedulers, headless compute nodes
Trial Edition Note
The trial runtime activates under debugger session.
On Linux, use Visual Studio Code to debug-run your application.
Documentation
API Reference: https://www.dewresearch.com/Help/VSNET/MtxVec/contents.html
User Guides (PDF): https://downloads.dewresearch.com/downloads/MtxVecV6-CSharp.pdf https://downloads.dewresearch.com/downloads/SignalV6-CSharp.pdf https://downloads.dewresearch.com/downloads/StatsV6-CSharp.pdf
License
Commercial license. See DewMathLicense.txt included in this package. All Dew.* packages on nuget.org are trial versions and require debugger activation on Linux.