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 today’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 – 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 today’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, “We 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.”

Vinod Kannan, VP & GM, Compute BU at MulticoreWare said, “VaLVe 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.”

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 (x266™/x265/Ultraziq) have been deployed in live streaming or VOD services across many broadcast customers.

https://multicorewareinc.com


Recent Content

FinTech, private 5G networks, and AI are converging to reshape digital finance across industries. From embedded payments and super apps to AI-driven credit scoring and secure M2M transactions, this $2 trillion opportunity is powered by mobile technology, cloud infrastructure, and regulatory evolution. Leaders must act fast to unlock new revenue, scale inclusion, and secure digital ecosystems.
The future of sports and entertainment is fan-first, immersive, and data-driven. Powered by D2C models, 5G networks, AI content creation, and super apps, industry leaders are reimagining fan experiences—from Bundesliga’s mobile strategy to Web2.5’s tokenized communities. The shift is not just technical but cultural, prioritizing personalization, monetization, and real-time interaction across every touchpoint.
Satellite-mobile convergence is rapidly shifting from niche to mainstream, enabling global mobile coverage through Non-Terrestrial Networks (NTN). With direct-to-device (D2D) standards now supported by 3GPP Releases 17–19, traditional mobile phones can connect directly to satellites. This development has unlocked use cases in emergency response, smart agriculture, logistics, and IoT—paving the way for a future where 6G, edge AI, and multi-orbit architectures redefine connectivity. Learn how telecoms, enterprises, and regulators are navigating the path to a fully connected planet.
NVIDIA and Google Cloud are collaborating to bring secure, on-premises agentic AI to enterprises by integrating Google’s Gemini models with NVIDIA’s Blackwell platforms. Leveraging confidential computing and enhanced infrastructure like the GKE Inference Gateway and Triton Inference Server, the partnership ensures scalable AI deployment without compromising regulatory compliance or data sovereignty.
Nvidia has open-sourced the KAI Scheduler, a key component of the Run:ai platform, to improve AI and ML operations. This Kubernetes-native tool optimizes GPU and CPU usage, enhances resource management, and supports dynamic adjustments to meet fluctuating demands in AI projects.
At MWC Barcelona 2025, the O-RAN ALLIANCE showcased significant progress in AI-driven Radio Access Network (RAN) technologies and strategies for 6G standardization. Their approach focuses on interoperability, enhanced security measures, and fostering global collaboration for future mobile networks.

Download Magazine

With Subscription
Whitepaper
Explore RADCOM's whitepaper 'Unleashing the Power of 5G Analytics' to understand how telecom operators can drive cost savings and revenue with 5G. Learn about NWDAF's role in network efficiency, innovative use cases, and analytics monetization strategies. Download now for key insights into optimizing 5G network performance....
Radcom Logo

It seems we can't find what you're looking for.

Subscribe To Our Newsletter

Scroll to Top