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VaLVe: Revolutionizing SIMD Programming
Experience VaLVe, our revolutionary solution for seamless SIMD programming. VaLVe transforms the landscape by offering a versatile vector programming layer that seamlessly supports classical vector ISAs like ARM / NEON, and AVX as well as new entrants like ARM / SVE (applicable for Graviton 2 and Graviton 3) and RISC-V / RVV.
This cutting-edge solution replaces platform-specific intrinsics with a powerful C++ vector productivity library. Developers can now navigate the complexity of variable-length vectors with more ease and confidence, enabling them to write code once and compile it repeatedly for compatibility across diverse architectures.
Key Features
Enhancing Explicit Vector Programming:
VaLVe simplifies explicit vector programming, enabling developers to write efficient SIMD code for multiple architectures. With a dynamic toolset and user-friendly syntax, VaLVe revolutionizes the way applications leverage vectors.
Navigating Architecture Complexity:
In a landscape of evolving architectures, VaLVe serves as a bridge, allowing applications initially developed for fixed-length vector ISAs to smoothly transition to new architectures supporting Variable Length Vectors. VaLVe ensures compatibility and simplifies the migration process.
Portability Made Easy:
VaLVe enhances portability, eliminating the need to develop from scratch for new architectures. This ensures a quicker, simpler, and future-proof migration process.
Native Debug Capability
VaLVe-vectorized applications can leverage VaLVe’s inherent portability to directly test their functionality natively on development machines, reducing the amount of development and testing needed on costly or unwieldy deployment environments.
See VaLVe in Action
- Vector length is hard coded into the application
- Verbose names for basic operations
- Tied to a specific architecture
- Enhancing explicit vector programming for multiple architectures
- Saves time on manual vectorization
- Easily portable to multiple architectures
Frequently Asked Questions (FAQ):
VaLVe leverages an architecture-independent vector intrinsic layer in C, which supports both classical fixed-length vector ISAs and modern variable-length vector ISAs. On top of this is layered a C++ library providing intuitive vector programming syntax. Together, these enable streamlined porting, making it quicker and simpler to adopt and yielding future-proof software that is ready to run on both your current and future CPU platforms.
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.
VaLVe addresses several key issues:
- Manual vectorization is time-consuming and often ties development to specific architectures. VaLVe offers portability, allowing you to write vectorized code that works across various hardware platforms.
- Pre-existing manual vectorization methods are often dependent on fixed vector lengths, which can cause compatibility issues with modern Instruction Set Architectures (ISAs). VaLVe overcomes this limitation by supporting variable vector lengths.
VaLVe offers several key advantages:
- Enhanced productivity and code portability across various ISAs.
- Simplified vector programming without relying on challenging intrinsics.
- Significant time savings by automating manual vectorization efforts.
- Increased developer productivity through efficient vectorization.
VaLVe caters to a wide range of users, including:
- Semiconductor Companies: VaLVe can be used as part of an Engineering Service project for a customer who needs to vectorize mathematical and machine learning libraries for multiple architectural variants to enhance developer productivity and speed up development cycle.
- Independent Software Vendors (ISVs): ISVs having products that have to be optimized for multiple architectures can license VaLVe to vectorize their code without incurring resource costs by avoiding repetition of development efforts.
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