huggingface/optimum-habana
Jul 2025 – Oct 2025
2 Months active
Languages Used
Python
Technical Skills
Deep LearningHabana GaudiPerformance OptimizationTransformer ModelsAI Model IntegrationMachine Learning
Jincheng Miao
PROFILE
Jincheng Miao
Over a three-month period, this developer contributed to deep learning and performance optimization projects in the huggingface/optimum-habana and intel/sycl-tla repositories. They integrated FusedSDPA into Bert self-attention for Habana Gaudi accelerators, improving inference throughput and latency using C++ and Python. Their work also expanded video generation capabilities by adding Wan2.2 model support for image-to-video and text-to-video pipelines, aligning with production deployment goals. Additionally, they addressed a memory bandwidth calculation bug in FMHA Forward Runner, enhancing measurement accuracy for K/V traffic. Their approach emphasized clear commit traceability, targeted testing, and collaboration across teams, demonstrating strong skills in AI model integration.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
1,480,376
Activity Months3
Your Network
2403 peopleSame Organization
@intel.com2260
Shared Repositories
143
Work History
April 2026
1 Commits
Apr 1, 2026April 2026 focused on correcting memory bandwidth metrics for K/V traffic in the FMHA Forward Runner within intel/sycl-tla. The fix addresses under-counting in DRAM traffic measurements for decode/prefix-cache workloads, increasing measurement fidelity and enabling more reliable performance analysis and optimization decisions.
1 Commits
Apr 1, 2026April 2026 focused on correcting memory bandwidth metrics for K/V traffic in the FMHA Forward Runner within intel/sycl-tla. The fix addresses under-counting in DRAM traffic measurements for decode/prefix-cache workloads, increasing measurement fidelity and enabling more reliable performance analysis and optimization decisions.
April 2026
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10. Concise monthly summary for huggingface/optimum-habana focused on feature delivery and business value.
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10. Concise monthly summary for huggingface/optimum-habana focused on feature delivery and business value.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 performance-focused milestone for huggingface/optimum-habana. Implemented FusedSDPA integration for Bert self-attention on Habana Gaudi accelerators, replacing the standard scaled dot-product attention in BertSdpaSelfAttention.forward. This work targets inference and non-training scenarios, delivering improved throughput and reduced latency on Habana hardware. All work is tracked under commit b33fbba07adb5347920a58be84bc2e5edba27ed5 with message "Use FusedSDPA in self_attention of Bert model (#2115)".
1 Commits • 1 Features
Jul 1, 2025July 2025 performance-focused milestone for huggingface/optimum-habana. Implemented FusedSDPA integration for Bert self-attention on Habana Gaudi accelerators, replacing the standard scaled dot-product attention in BertSdpaSelfAttention.forward. This work targets inference and non-training scenarios, delivering improved throughput and reduced latency on Habana hardware. All work is tracked under commit b33fbba07adb5347920a58be84bc2e5edba27ed5 with message "Use FusedSDPA in self_attention of Bert model (#2115)".
July 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability80.0%
Architecture86.6%
Performance93.4%
AI Usage40.0%
Skills & Technologies
Programming Languages
C++PythonYAML
Technical Skills
AI Model IntegrationC++ developmentCI/CDDeep LearningHabana GaudiMachine LearningPerformance OptimizationTransformer ModelsVideo Processingbug fixingperformance optimization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
intel/sycl-tla
Apr 2026 – Apr 2026
1 Month active
Languages Used
C++YAML
Technical Skills
C++ developmentCI/CDbug fixingperformance optimization