Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research

KTU 7th Semester Compiler Design lab programs along with algorithms

A Fast DNN Accelerator Design Space Exploration Framework.

Learn matrix-matrix multiplication optimization in C++ through progressively optimized DGEMM implementations, from naïve algorithms to AVX-512 and blocked kernels.

A toolkit for optimizing Julia code that uses statically sized iterators.

This is a demostration of SIMD code in stm32f4xxx microcontroller.

Fast hex and base64 encoding and decoding, string <-> Uint8Array

One of the fastest ways to count to 1,000,000 on the Apple 2

STAΛKER is a header only, high-performance, C++17 linear algebra library. It offers vectorized, highly-configurable math kernels designed with zero-overhead abstractions.

Mathematical vector class for N dimensional real and complex vectors. Loop operations are unrolled using templates.

simulation of a cache in regards to flushing, updating, and replacing bytes for the purpose of data access optimization with a focus on locality

An exercise to help me learn about Canvas animations and MVC architecture, which also turned into an exploration of performance. Arrow keys to pitch and yaw, A and D to roll. S and W to adjust speed. Click to spawn rectangles from an arbitrary point. Space to reset.

상받은 2020년 암호경진대회 솔루션

Some performance optimization techniques for C and C++ code

VHDL IMPLMENTATION OF SHA 512 ALGORITHM with loop unrolling

Safety-hardened GEMM (matrix multiply) implementation achieving 169.8 GFLOPS on Intel i9-14900. Built for embedded systems and safety-critical applications where reliability matters as much as speed. 162× faster than naive, zero UB, fully validated.

Computer Architecture Assignments (HY425) [winter semester of 2023].

The repository includes lab exercises for the course Parallel Programming (CS6306)

High Performance Computing exercises