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 ...

Abstract: Sparse-sparse matrix multiplication (SpGEMM) is a well-studied problem on CPUs, GPUs, accelerators (e.g. FPGAs), and distributed systems. The main computational bottleneck in SpGEMM is the ...

Abstract: Sparse matrix-matrix multiplication (SpMM) is a prevailing kernel in scientific and artificial intelligence applications. However, the irregular memory access behaviors caused by diverse ...

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Japanese AI specialist HACARUS Inc. is successfully utilizing its proprietary Sparse Modeling AI technology in joint projects including phenotype drug discovery, medical imaging and ECG monitors for ...

Choose a character, then add, subtract, divide and multiply numbers to battle your way to victory in this fun maths game. Challenge yourself across 11 KS2 maths topics from the Mysterious Mountains of ...

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 ...

This repository contains efficient implementations of distributed matrix operations and an item-item collaborative filtering engine using Apache Spark (RDD API) and Scala. The project demonstrates ...