MulticoreWare

中文

中文

中文

中文

Engineering Optimal Performance
Mastering Software Analysis and Optimization

The integration of intelligence into compilers has become increasingly pivotal, given its burgeoning role in optimization within the software landscape, addressing the mounting complexity of contemporary software and hardware environments. Harnessing intelligence empowers compilers to autonomously adapt and optimize code for intricate architectures, yielding substantial improvements in performance, resource utilization, and overall software efficiency.

End-to-End Compiler Expertise

Optimizing software is paramount to ensuring efficient resource utilization and achieving overarching efficiency objectives. At MulticoreWare, our engineers are involved in various aspects of the LLVM compiler, spanning the entire development lifecycle, with hands-on expertise in frontend development, Intermediate Representation (IR) optimization, and backend implementation.

Our proficiency extends to crafting compiler passes designed to enhance performance. We’re adept at creating essential components such as LLDB, LLBT, and assemblers, finely tuned to cater to a diverse range of target architectures. Our high-level skills in implementing heterogeneous programming systems set us apart. We specialize in designing and executing new language features that seamlessly facilitate architecture-specific capabilities, pushing the boundaries of software performance.

MLIR

MulticoreWare’s expertise extends to MLIR, or Multi-Level Intermediate Representation, which stands as a transformative compiler infrastructure within the LLVM ecosystem. We excel in translating various machine learning operators from frameworks like TensorFlow, PyTorch, and ONNX to LLVM. This proficiency bridges the gap between productivity-focused frameworks and low-level hardware-specific optimizations, resulting in a seamless translation that significantly enhances performance.

Our specialized knowledge in MLIR encompasses graph transformation methodologies, including graph optimization and Ops fusion. These techniques are instrumental in improving inference throughput, further solidifying our position as experts in the realm of compiler technology.

Domain Specific languages

Hardware Platforms

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