Hyperdimensional Computing (HDC) is a brain-inspired computing paradigm introduced to achieve energy efficiency with a lightweight and single-pass training model. Hypervectors (HVs) at the heart of the HDC systems play a fundamental role in elevating the ...

Low-cost and hardware-efficient design of trigonometric functions is challenging. Stochastic computing (SC), an emerging computing model processing random bit-streams, offers promising solutions for this problem. The existing implementations, however, ...

Word-aware sentiment analysis has posed a significant challenge over the past decade. Despite the considerable efforts of recent language models, achieving a lightweight representation suitable for deployment on resource-constrained edge devices remains ...

In stochastic computing (SC), data is represented using random bit-streams. The efficiency and accuracy of SC systems rely heavily on the stochastic number generator (SNG), which converts data from binary to stochastic bit-streams. While previous ...

This study presents an optimization algorithm for multiplexer (MUX)-based scaled addition for stochastic computing (SC). Accumulation operation can be performed in SC using a MUX unit. Cascaded structures of 2m-to-1 MUXs are used for the accumulation of ...

Few studies have explored the complex circuit simulation of stochastic and unary computing systems, which are referred to under the umbrella term of bit-stream processing. The computer simulation of multi-level cascaded circuits with reconvergent paths ...

In-Memory Computing (IMC) is a promising computing paradigm to accelerate Big Data applications. It reduces the data movement between memory and processing units, and provides massive parallelism. Memristive technology is one of the promising ...

Stochastic computing (SC) is an emerging paradigm that has come to the fore in computer vision applications in the last decade. Complex arithmetic circuitry is reduced to simple logic gates, fed with uniform random bit-streams. Due to the requirement of ...

Stochastic computing (SC) is an alternative computing paradigm that processes data in the form of long uniform bit-streams rather than conventional compact weighted binary numbers. SC is fault-tolerant and can compute on small, efficient circuits, ...

Sorting data is needed in many application domains. Traditionally, the data is read from memory and sent to a general-purpose processor or application-specific hardware for sorting. The sorted data is then written back to the memory. Reading/writing data ...

With expansion of neural network (NN) applications lowering their hardware implementation cost becomes an urgent task especially in back-end applications where the power-supply is limited. Stochastic computing (SC) is a promising solution to realize low-...