Compilers and Toolchains
Leverage our expertise in compilers to add support for custom RISC-V extensions, implement compiler builtin functions to target custom SIMD and Vector instructions, and develop compiler optimization and analysis to enhance code performance and gain deeper insights into code behavior.
Our Expertise
The Compiler Team at 10xE excels in enhancing and customizing compiler infrastructures to meet the unique demands of modern hardware. Our capabilities include:
Advanced LLVM Transformations
We develop and implement sophisticated LLVM analysis and transformations, enabling efficient code generation and execution tailored to RISC-V architectures.
Target-Specific Compiler Enhancements
Our engineers integrate custom instructions and Clang-builtins, fine-tuning compilers to maximize performance for your specific hardware.
Performance Benchmarking & Profiling
Utilizing industry-standard benchmarks such as SPEC CPU® 2017, Byte-unixbench, and Dhrystone, we rigorously test, debug, and profile our compilers to ensure optimal performance.
Machine Learning Optimization
We specialize in optimizing ML models for custom hardware, including porting models to Mojo and RISC-V Vector, ensuring seamless integration and execution.
Key Services
Compiler Tuning
Precision optimization of compilers for RISC-V hardware, enhancing execution speed, reducing code size, and improving overall system performance.
Custom Toolchain Development
Tailoring toolchains to your specific requirements, we integrate the latest technologies and best practices to support your development process.
Code Size Optimization
We implement strategies to minimize code size without sacrificing functionality, which is crucial for resource-constrained environments.
End-to-End Performance Optimization
Comprehensive analysis and enhancement of software and hardware interactions, delivering a finely tuned, high-performance system.
Client’s Feedback
Woodpecker Technologies engaged with 10xEngineers to develop an LLVM-based tool that enhances the post-silicon validation process by leveraging two decades of Stanford research on Quick Error Detection (QED) algorithms. This tool has significantly reduced Error Detection Latency (EDL) and improved the error coverage of our post-silicon tests.
The 10xEngineers team provided exceptional compiler expertise throughout the project. We are extremely pleased with the expertise, professionalism, and dedication demonstrated by 10xEngineers. We look forward to collaborating with them on future initiatives.