loop-unrolling

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

상받은 2020년 암호경진대회 솔루션

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.

Some performance optimization techniques for C and C++ code

VHDL IMPLMENTATION OF SHA 512 ALGORITHM with loop unrolling

Progressive optimization of dense matrix multiplication in C using cache blocking, loop unrolling, SIMD-style vectorization, micro-kernels, and OpenMP multithreading.

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

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.

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

High Performance Computing exercises