mirage-project/mirage
Jun 2026 – Jun 2026
1 Month active
Languages Used
C++CUDA
Technical Skills
CUDACUDA programmingGPU programmingparallel computingparallel programmingperformance optimization
Chris Fregly
PROFILE
Chris Fregly
Worked on the Mirage repository to enhance reliability and performance for large-scale inference on multi-GPU systems. Addressed a determinism issue in FP8 quantization under the MPK persistent runtime, ensuring each task processed all rows and eliminating per-row race conditions. Implemented a kv-cache gather optimization using 4-way instruction-level parallelism and a flattened index space, reducing latency while maintaining bit-identical outputs. Validated these changes on GLM-5.1 MoE deployments, confirming reproducibility and throughput improvements without requiring scheduler modifications. Utilized CUDA, C++, and parallel computing techniques to deliver scalable, deterministic inference, supporting reproducible experimentation and robust serving for large model workloads.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
58
Activity Months1
Your Network
24 peopleShared Repositories
24
Work History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 focused on reliability and performance improvements for Mirage, delivering two high-impact changes that drive scalable, deterministic inference on multi-GPU deployments.
2 Commits • 1 Features
Jun 1, 2026June 2026 focused on reliability and performance improvements for Mirage, delivering two high-impact changes that drive scalable, deterministic inference on multi-GPU deployments.
June 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CUDA
Technical Skills
CUDACUDA programmingGPU programmingparallel computingparallel programmingperformance optimization
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