Geekbench Workload Analysis
January 4, 2024
The Client
The customer was a semiconductor technology company.
Challenges
The company was facing a challenge with benchmarking and performance analysis of geekbench workloads and had to improve their compiler on different platforms like Windows, Linux, ClearLinux to be at par with competition. Other challenges include:
- Identifying code generation sequences that can be improved algorithmically.
- Submission of bugs and feature requests to their compiler team to contribute to organized improvements.
Solution
Leveraging MulticoreWare’s expertise in profiling and benchmarking, we adeptly identified shortcomings within their compiler and revealed promising avenues for additional exploration.
To initiate this process, a thorough performance analysis was conducted on the most promising opportunities, and the customer was presented with a comprehensive overview of the potential enhancements to their compiler. Extensive benchmarking followed, encompassing diverse combinations of platforms and compilers to ensure a robust evaluation of performance.
The technology employed during this evaluation encompassed a range of tools and compilers, including LLVM, ICX, and the customer’s proprietary compiler. To further enhance the precision of performance analysis, profilers such as perf, uprof, and vtune were utilized. This holistic approach not only identified and addressed deficiencies but also provided a detailed understanding of the performance impact across various scenarios, paving the way for strategic improvements in their compiler technology.
Outcome
- The compiler’s efficiency underwent significant enhancements by capitalizing on various opportunities, as demonstrated through rigorous testing against geekbench workloads on diverse platforms and compilers.
- This improvement process was marked by the identification and rectification of multiple issues within their compiler and associated libraries. Consequently, a series of defect reports were generated to document and address these identified shortcomings.
Business Impact
By enhancing the compiler, we had the capability to provide a distinct competitive edge to our customer. Our ability to showcase substantial improvements using fundamental code segments commonly found in workloads underscored the significant impact of our enhancements. Notably, in several instances, we illustrated the areas where their compiler fell short in comparison to LLVM, emphasizing the critical need for improvement in those specific aspects.
Conclusion
This case study highlights MulticoreWare’s expertise in benchmarking and performance analysis of geekbench workloads. For a more comprehensive understanding of MulticoreWare’s solutions and services, please contact us at info@multicorewareinc.com
