I'm Kingsley

About me

I am currently a Staff EDA Tools Software Engineer at Intel Corporation. My current work at Intel Corporation involves programmming standard design rules in ICV and Calibre, automating workflow in Linux, develop and implement Runset Testcase Generator (RTG) testcase for ICV runset codes, code and debug LVS runset. I am also a part-time GPU Software Engineer (CUDA), in which I write CUDA kernels for deep learning application, profiling CUDA kernels using Nsight Systems and Compute to identify areas of optimization. I have an MEng in Computer Science and PhD in Chemical Engineering from Oregon State University.

Projects Skills Contact Me
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More About Me

Projects

Application of CUDA streams for computing summation of 2D array along the rows.

CUDA Programming. C++/C Programming. CUDA Streams. Asynchronous and synchronous data transfer.

Runtime comparison of asynchronous and synchronous data transfer for reduction kernel.

How CUDA threads are grouped in a CUDA Warp.

CUDA Programming. C++/C Programming. Shared and Global memory. CUDA Warps

GPU microbenckmarking was used to identify group of threads in a Warp.

Kernel Optimization of Euclidean Distance Matrix for 2D coordinate.

CUDA Programming. C++/C Programming. CUDA Kernel Profiling. Memory Hierarchy. CUDA Pipleines.

CUDA Kernel development and optimization for euclidean distance matrix calculations.

CUDA Implementation of a three layer neural network.

CUDA programming. C++/C programming. Pytorch. Python programming.

CUDA implementation of a three layer neural network was compared with Pytorch implementation.

Skills

Contact Me

If you have any questions or comments about my blog posts or Github open source projects, please contact me via my personal Email.