MulticoreWare

VaLVe: A programmer productivity tool

MulticoreWare presents VaLVe, a cutting-edge solution crafted to ensure seamless compatibility with ARM V9 and RISC-V architectures. At its core, VaLVe boasts a versatile vector intrinsic layer capable of supplanting SVE or RVV intrinsics coupled with a potent C++ vector productivity library. This powerful combination empowers developers to harness the full potential of variable-length vectors, ushering in a new era of portability, performance, and cost-efficiency in application development.

Navigating the Complexity of Variable-Length Vectors

In the ever-evolving landscape of computing, creating applications that prioritize performance while managing the cost implications of implementing variable-length vectors presents a formidable challenge. VaLVe takes on this challenge head-on by providing a comprehensive solution. It offers a C/C++ environment that allows developers to write code once and compile it repeatedly, ensuring compatibility across a diverse range of architectures.

Seamless Portability Across Architectures

MulticoreWare’s expertise spans various SIMD instruction sets, including MMX, SSE2, AVX, and AVX-512, originating from x86 and earlier RISC architectures. With VaLVe, applications initially developed in C/C++ for 64-bit processors can smoothly transition to new architectures supporting Variable Length Vectors, including SVE/SVE2 and their equivalents. The VaLVe C and VaLVe C++ library toolset leverages these vector instructions, vector registers, and vector memory features to simplify the migration process.

It introduces an architecture-independent VLV C Portability Layer and an intuitive vector programming syntax validator in the form of the VLV C++ Productivity Layer. This dynamic duo streamlines porting, making it quicker, simpler, and future-proof, regardless of changes to SIMD scalable instruction sets. VaLVe serves as the bridge that empowers developers to navigate the ever-changing landscape of 64-bit CPU architectures, optimizing both programmer productivity and application efficiency with finesse.

Heterogeneous Compute Compilers (HCC)

Neural Network Optimization Engines

Domain Specific languages

Hardware Platforms

GET IN TOUCH

Our team is happy to answer your questions. Please fill out the form and we will be in touch with you as soon as possible.

    (Max 300 characters)