Abstract: Modular multiplication is one of the most compute-intensive arithmetic operations. Most public-key cryptosystems utilize modular multiplication of integers of various lengths, depending on ...

Abstract: In the sparse polynomial multiplication problem, one is asked to multiply two sparse polynomials f and g in time that is proportional to the size of the input plus the size of the output.

Sparse matrices, which are common in scientific applications, are matrices in which most elements are zero. To save space and running time it is critical to only store the nonzero elements. A standard ...

Intel and AMD have jointly announced ACE, a new x86 instruction set extension that brings dedicated AI acceleration to CPUs, ...

As AI infrastructure spreads to local communities, the question may not be only about the multiplication of data centers ...

The CEO of Digitas on why overpromising with AI is a dangerous path for marketers.

The Senate is wrestling with how AI should be used in classrooms as lawmakers raise concerns about student learning, privacy, ...

32-point-FFT-Verilog-design-based-DIT-butterfly-algorithm This project aims to design an 32-point FFT (Fast Fourier Transform) based DIT (decimation in time) Butterfly Algorithm with multiple clock ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

As the Principal Scientist at Abu Dhabi-based QRDC, he has been paving the way for newer advancements in quantum photonics ...

Motivation and history -- Parallel architectures -- Parallel algorithm design -- Message-passing programming -- The sieve of erathosthenes -- Floyd's algorithm -- Performance analysis -- Matrix-vector ...