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Jeff Rasley

PROFILE

Jeff Rasley

Worked on enhancing DeepSpeed’s compatibility with MPS devices by addressing timer event handling and communication backend behavior in the microsoft/DeepSpeed repository. Focused on enabling FP32 Zero-Stage-0 runs on MPS by implementing a host timer fallback mechanism, ensuring stable operation where CUDA-like timer events are unavailable. Improved the system to avoid unnecessary broadcasting or all-reduce operations when no communication backend is defined, which reduced runtime errors and improved portability. Utilized Python and deep learning expertise, along with GPU programming skills, to clarify MPS-specific code paths and update documentation, supporting easier onboarding and future hardware support within the DeepSpeed framework.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

1Total
Bugs
1
Commits
1
Features
0
Lines of code
8
Activity Months1

Your Network

4822 people

Same Organization

@microsoft.com
4720
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember

Work History

January 2026

1 Commits

Jan 1, 2026

January 2026 monthly summary for microsoft/DeepSpeed focusing on MPS device compatibility and host timer fallback. The work enables running DeepSpeed on MPS devices by adjusting timer handling and communication backend behavior, reducing unnecessary broadcasting or all-reduce when no backend is defined, thereby expanding hardware support and stability for FP32 Zero-Stage-0 runs on MPS.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Deep LearningGPU ProgrammingPython

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

microsoft/DeepSpeed

Jan 2026 Jan 2026
1 Month active

Languages Used

Python

Technical Skills

Deep LearningGPU ProgrammingPython