MulticoreWare launches VaLVe, a replacement for platform-specific intrinsics in SIMD Programming

MulticoreWare Inc. announced the launch of their new tool, VaLVe, to enhance explicit vector programming across various architectures, enabling portability of vectorized applications. VaLVe enables software to adapt to the increasingly diverse set of processors in todayโ€™s cloud and edge ecosystems to enable faster development.
MulticoreWare launches VaLVe, a replacement for platform-specific intrinsics in SIMD Programming

SAN JOSE, CA / 5 March 2024 โ€“ย MulticoreWare Inc. announced the launch of their new tool, VaLVe, to enhance explicit vector programming across various architectures, enabling portability of vectorized applications. VaLVe enables software to adapt to the increasingly diverse set of processors in todayโ€™s cloud and edge ecosystems to enable faster development.


VaLVe reshapes the landscape of SIMD programming, which has been dominated by solutions with limited portability or tenuous performance. Offering a versatile vector programming layer for application development, VaLVe provides the portability and ease of use of standard C/C++ with the efficiency of platform-specific intrinsics.

Performance-minded application developers have long experienced the pains of manually updating applications with legacy SIMD optimizations to a new set of vector extensions. VaLVe’s productivity gains enable developers to optimize for new ISAs like SVE and RVV more quickly while seamlessly maintaining support for established technologies like NEON and AVX in a single codebase.

John Stratton, Chief Technology Officer, MulticoreWare said,ย โ€œWe have been using VaLVe internally on a couple of projects and are very pleased with the resulting ease of use and performance. VaLVe serves as the bridge that empowers developers to navigate the ever-changing landscape of CPU architectures, optimizing both programmer productivity and application efficiency with finesse. Our goal with this product is to accelerate the performance maturation of software on emerging platforms so that the industry can fully capture their promised energy and cost reductions.โ€

Vinod Kannan, VP & GM, Compute BU at MulticoreWare said,ย โ€œVaLVe embodies our commitment to empowering developers with a dynamic toolset for efficient programming. By taking control of vectorization with VaLVe, software developers can speed up their development and make their applications performant across the variety of architecture and compiler versions they may need to support with improved productivity and portability.โ€

About MulticoreWare

MulticoreWare delivers software IP Solutions and Engineering Services serving a wide group of customers with solutions like Hardware Platform Compilers & Toolchains, SDK Libraries, Video codecs, and Algorithm & Data Engineering solutions using various vision & non-vision sensors (Radar, LiDAR, IMU, GPS, etc.). MulticoreWare’s solutions are used in Automotive (ADAS/AD), Surveillance, Defence, Medical-Imaging, Health, IoT, Retail, Industrial, Robotics, Smart City. MulticoreWare’s industry-leading video codec products (x266โ„ข/x265/Ultraziq) have been deployed in live streaming or VOD services across many broadcast customers.

https://multicorewareinc.com


Recent Content

Nvidia GTC 2025 introduced AI advancements, including Blackwell Ultra AI chips, agentic AI, and AI Factories. With innovations in robotics, generative AI, and AI-driven cloud computing, Nvidia is shaping the future of AI-powered industries. Discover how these technologies are transforming healthcare, finance, automotive, and enterprise applications.
NVIDIA is redefining data centers with AI factories, purpose-built to manufacture intelligence at scale. Unlike traditional data centers, AI factories process, train, and deploy AI models for real-time insights, automation, and digital transformation. As global investments in AI infrastructure rise, enterprises and governments are prioritizing AI-powered data centers to drive innovation, efficiency, and economic growth.
NVIDIA has launched Halos, a full-stack AI-powered safety system designed to enhance autonomous vehicle (AV) development. By integrating AI models, simulation tools, and compliance frameworks, Halos ensures AV safety from cloud to car. With industry partners like Continental, onsemi, and OMNIVISION, NVIDIA is setting new safety benchmarks for self-driving technology.
General Motors (GM) is strengthening its AI collaboration with NVIDIA to revolutionize manufacturing, vehicle design, and autonomous technology. By leveraging AI-powered digital twins, intelligent robotics, and advanced driver-assistance systems, GM aims to enhance efficiency, safety, and innovation across its operations. This partnership marks a major step toward smarter factories, faster vehicle development, and the future of AI-driven transportation.
NVIDIA is partnering with telecom leaders like T-Mobile, Cisco, and MITRE to develop AI-powered 6G networks, integrating artificial intelligence into next-gen wireless infrastructure. Announced at NVIDIA GTC, this initiative leverages AI-RAN and Open RAN technologies to enhance spectral efficiency, optimize network performance, and enable seamless 6G connectivity.
Verizon Business has introduced the Verizon Business Assistant, an AI-powered tool that helps small businesses automate customer interactions via text messaging. This AI-driven solution enables 24/7 customer support, instant responses, and seamless human handoff when needed. Designed to enhance customer engagement and business efficiency, the AI assistant learns from past interactions, allowing businesses to focus on growth while providing fast and accurate responses to customer inquiries.
Scroll to Top