Search Results for "kernel generic"

...CubeCL focuses on delivering predictable performance and composability by exposing explicit control over memory layouts, parallelism, and execution patterns while still maintaining a developer-friendly syntax. The framework is built to integrate tightly with modern ML stacks, enabling efficient tensor operations and custom kernel development that can outperform generic libraries in specialized workloads. By combining compiler optimizations with a domain-specific language, CubeCL allows developers to generate highly optimized code for different hardware backends while maintaining a single source of truth.

ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects.

KDD (Kernel Data Disambiguator) is a new automated software analysis tool that can generate a sound kernel data definition for any C-based OS (e.g. Windows and Linux) without any prior knowledge of the OS. KDD disambiguates the pointer-based relations including generic pointers - to infer their candidate types/values - by performing static points-to analysis on the kernel’s source code.