MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

Dr. Michael Goldwasser joined the faculty at Saint Louis University in 2003, having previously been a faculty member at Loyola University in Chicago and a postdoc at Princeton University. He served as ...

Abstract: For many scientific applications, dense matrix multiplication is one of the most important and computation intensive linear algebra operations. An efficient matrix multiplication on high ...

Abstract: Matrix-vector multiplication is practically used in all Digital Signal Processing (DSP) algorithms. Particularly, in the channel emulation field, it is required to perform this algorithm in ...

Quantum-inspired adaptive tiling for high-performance matrix multiplication. Uses WKB tunneling physics with the golden ratio to derive optimal tile sizes from real-time CPU state. 15%+ gains on ...

For educational purposes, I implemented every algorithm in Java! I meant to make a book out of that, but who still reads books? If you find any issues, please fork the repository and send me a pull ...