deepspeedai/DeepSpeed
Nov 2024 – Nov 2024
1 Month active
Languages Used
C++
Technical Skills
C++OneAPISYCL
baodi
PROFILE
Baodi
Di Bao engineered three production features across DeepSpeed, intel/torch-xpu-ops, and pytorch/pytorch, focusing on XPU acceleration and memory optimization. In DeepSpeed, he enabled XPU operations under OneAPI 2025.0 by making a kernel type device-copyable within the SYCL namespace, improving cross-compiler portability. For intel/torch-xpu-ops, he extended SYCL offline compiler options to support memory allocations greater than 4 GB, enhancing performance for data-intensive workloads. In pytorch/pytorch, he implemented OneDNN primitive caching for INT4 weight-only quantized GEMM on XPU, reducing runtime overhead. His work leveraged C++, SYCL, and CMake, demonstrating depth in compiler optimization and GPU programming.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
893
Activity Months3
Your Network
2699 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for pytorch/pytorch: Delivered a performance-oriented feature—OneDNN primitive caching for INT4 weight-only quantized GEMM on XPU. This cache reduces redundant primitive creation and improves throughput for low-precision GEMM workloads on Intel GPUs. The change is committed as bcbd2a22b2e9b48bc7c36e39a9143c7901262547 with message '[Intel GPU] OneDNN primitive cache support for Int4 WOQ gemm on XPU (#147693)'.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for pytorch/pytorch: Delivered a performance-oriented feature—OneDNN primitive caching for INT4 weight-only quantized GEMM on XPU. This cache reduces redundant primitive creation and improves throughput for low-precision GEMM workloads on Intel GPUs. The change is committed as bcbd2a22b2e9b48bc7c36e39a9143c7901262547 with message '[Intel GPU] OneDNN primitive cache support for Int4 WOQ gemm on XPU (#147693)'.
May 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Delivered large memory allocation support (>4 GB) in the SYCL offline compiler options for intel/torch-xpu-ops, enabling larger data sets and improving performance for memory-intensive workloads. This work strengthens the compiler’s memory model, reduces allocation-related failures, and sets the stage for future optimizations in data-heavy XPU pipelines. Referenced in commit 3f93cf8ef2d9526c033e051f6c532085a09310da (Memalloc memory greater than 4 gb (#1406)).
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Delivered large memory allocation support (>4 GB) in the SYCL offline compiler options for intel/torch-xpu-ops, enabling larger data sets and improving performance for memory-intensive workloads. This work strengthens the compiler’s memory model, reduces allocation-related failures, and sets the stage for future optimizations in data-heavy XPU pipelines. Referenced in commit 3f93cf8ef2d9526c033e051f6c532085a09310da (Memalloc memory greater than 4 gb (#1406)).
November 2024
1 Commits • 1 Features
Nov 1, 2024In 2024-11, the DeepSpeed effort in deepspeedai/DeepSpeed delivered cross-API XPU compatibility with OneAPI 2025.0 by making a kernel-type device-copyable within the SYCL namespace, enabling XPU operations to run under OneAPI 2025.0. This work lays groundwork for broader XPU acceleration and cross-compiler portability for production workloads.
1 Commits • 1 Features
Nov 1, 2024In 2024-11, the DeepSpeed effort in deepspeedai/DeepSpeed delivered cross-API XPU compatibility with OneAPI 2025.0 by making a kernel-type device-copyable within the SYCL namespace, enabling XPU operations to run under OneAPI 2025.0. This work lays groundwork for broader XPU acceleration and cross-compiler portability for production workloads.
November 2024
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Quality Metrics
Correctness100.0%
Maintainability93.4%
Architecture100.0%
Performance100.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
C++CMake
Technical Skills
C++C++ developmentCMakeCompiler OptimizationGPU programmingHigh-performance computingMachine learningMemory ManagementOneAPIQuantization techniquesSYCL
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
intel/torch-xpu-ops
Mar 2025 – Mar 2025
1 Month active
Languages Used
CMake
Technical Skills
CMakeCompiler OptimizationMemory Management
pytorch/pytorch
May 2025 – May 2025
1 Month active
Languages Used
C++
Technical Skills
C++ developmentGPU programmingHigh-performance computingMachine learningQuantization techniques