intel/compute-benchmarks
Mar 2025 – Mar 2025
1 Month active
Languages Used
CC++
Technical Skills
CC++GPU ComputingIntel Level ZeroLow-Level ProgrammingPerformance Benchmarking
Shametska, Raman
PROFILE
Shametska, Raman
Worked on enhancing GPU benchmarking capabilities in the intel/compute-benchmarks repository, focusing on large-memory workloads and precise performance analysis. Extended the memory benchmark to support buffers up to 16GB, enabling broader coverage for high-capacity GPU scenarios. Introduced event-based kernel execution time measurements and developed general-purpose timestamp calculation utilities to improve timing accuracy. Addressed stability by hardening support for buffers larger than 4GB, ensuring reliable operation with substantial memory allocations. Utilized C and C++ alongside Intel Level Zero to implement low-level performance benchmarking features. The work emphasized accurate measurement and robust benchmarking infrastructure for GPU computing environments within the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
206
Activity Months1
Your Network
2309 peopleSame Organization
@intel.com2254
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for intel/compute-benchmarks: Delivered GPU Benchmark Enhancements including extending memory benchmarks to support buffers up to 16GB, introducing event-based kernel execution time measurements for more accurate GPU performance analysis, and adding general-purpose timestamp calculation utilities to facilitate these measurements. Also fixed and hardened the benchmarks to support 4+ GB buffers (commit 242fc55342f6ba11a6b9d08ff4f64e81992d350c).
1 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for intel/compute-benchmarks: Delivered GPU Benchmark Enhancements including extending memory benchmarks to support buffers up to 16GB, introducing event-based kernel execution time measurements for more accurate GPU performance analysis, and adding general-purpose timestamp calculation utilities to facilitate these measurements. Also fixed and hardened the benchmarks to support 4+ GB buffers (commit 242fc55342f6ba11a6b9d08ff4f64e81992d350c).
March 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++
Technical Skills
CC++GPU ComputingIntel Level ZeroLow-Level ProgrammingPerformance Benchmarking
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