Tencent/ncnn
Apr 2025 – Aug 2025
3 Months active
Languages Used
C++
Technical Skills
C++RISC-V architectureneural networksparallel programmingvectorizationC++ programming
AtomAlpaca
PROFILE
Atomalpaca
Over a three-month period, contributed to the Tencent/ncnn repository by developing and optimizing neural network operations for emerging hardware platforms. Focused on C++ and low-level performance engineering, the work included vectorized CELU activation and bias addition for RISC-V, half-precision storage support, and ShuffleChannel layer optimization leveraging RISC-V vector extensions. Additionally, implemented LASX-based SIMD optimizations for mathematical and trigonometric functions on Loongarch, improving inference speed and efficiency. Each feature was integrated with attention to maintainability and hardware compatibility, with thorough validation and documentation. The contributions enhanced throughput and broadened deployment options for neural network inference on edge devices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
2,803
Activity Months3
Your Network
51 peopleSame Organization
@anche.no5
Edoardo MarangoniMember
Florian KohrtMember
William GoodspeedMember
Pablo CastellanoMember
ShinseiMember
Shared Repositories
46
WillaaaaaaaMember
ShironanaMember
JosonMember
噜小噜芋团Member
Cat-myqMember
Justin FungMember
ChristopherMember
AleffMember
AtomAlpacaMember
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Tencent/ncnn focusing on key accomplishments and outcomes. Delivered a hardware-aware optimization for the ShuffleChannel layer targeting RISC-V vector architecture, with plans for benchmarking and deployment on edge devices. No major bugs reported this period; changes were integrated and prepared for broader hardware support.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for Tencent/ncnn focusing on key accomplishments and outcomes. Delivered a hardware-aware optimization for the ShuffleChannel layer targeting RISC-V vector architecture, with plans for benchmarking and deployment on edge devices. No major bugs reported this period; changes were integrated and prepared for broader hardware support.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025Concise monthly summary for 2025-07 focusing on Tencent/ncnn. Key feature delivered: LASX-based optimization for mathematical and trigonometric functions on Loongarch (sigmoid, sine, cosine, log), delivering faster function performance. No major bugs reported this month. Overall impact: improved inference performance on Loongarch deployments, contributing to higher throughput and lower latency in edge and server inference scenarios. Technologies/skills demonstrated: platform-specific SIMD optimization (LASX), low-level C/C++ optimization, performance profiling and validation, maintainability considerations for SIMD paths.
July 2025
1 Commits • 1 Features
Jul 1, 2025Concise monthly summary for 2025-07 focusing on Tencent/ncnn. Key feature delivered: LASX-based optimization for mathematical and trigonometric functions on Loongarch (sigmoid, sine, cosine, log), delivering faster function performance. No major bugs reported this month. Overall impact: improved inference performance on Loongarch deployments, contributing to higher throughput and lower latency in edge and server inference scenarios. Technologies/skills demonstrated: platform-specific SIMD optimization (LASX), low-level C/C++ optimization, performance profiling and validation, maintainability considerations for SIMD paths.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025: Focused on expanding Tencent/ncnn's performance on RISC-V by delivering vectorized neural network ops. Key feature delivered: RISC-V optimized neural network operations with vectorized CELU activation and bias addition. Implemented support for half-precision storage and both FP16/FP32 formats, enabling more efficient inference on RISC-V devices. These changes improve throughput and energy efficiency for edge deployments and broaden hardware compatibility.
2 Commits • 1 Features
Apr 1, 2025April 2025: Focused on expanding Tencent/ncnn's performance on RISC-V by delivering vectorized neural network ops. Key feature delivered: RISC-V optimized neural network operations with vectorized CELU activation and bias addition. Implemented support for half-precision storage and both FP16/FP32 formats, enabling more efficient inference on RISC-V devices. These changes improve throughput and energy efficiency for edge deployments and broaden hardware compatibility.
April 2025
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ developmentC++ programmingNeural network optimizationPerformance optimizationRISC-V architecturelow-level optimizationneural networksnumerical methodsparallel programmingperformance engineeringvectorization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline