Abstract: Multiplication is a fundamental operation in neural network models. However, signed multibit multiplication and accumulation (MAC) pose significant challenges, primarily due to the ...
Abstract: Field-programmable gate arrays (FPGAs) can efficiently implement custom applications via their embedded digital signal processor (DSP) slices, including binary multipliers. An increasing ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
Cyclops is a parallel (distributed-memory) numerical library for multidimensional arrays (tensors) in C++ and Python. Quick documentation links: C++ and Python. Broadly, Cyclops provides tensor ...
Abstract— Multipliers are crucial components in processors and arithmetic logic units. The performance of microsystems, microcontrollers, and DSP processors is often evaluated based on the number of ...
The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...
Francesca Parmigiani and Jiaqi Chu, researchers at Microsoft Research Cambridge, discuss a new kind of computer – an analog optical computer – that has the potential to accelerate AI inference and ...
“I have been working with a fantastic team to build a new kind of computer … it uses physics and physical systems to do … computation, which means it has the potential to be 100 times more efficient ...
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