IEEE

A Fast Floating-Point Multiply–Accumulator Optimized for Sparse Linear Algebra on FPGAs

Abstract: This brief presents a pipelined floating-point Multiply–Accumulator (FPMAC) architecture designed to accelerate sparse linear algebra operations. By designing a lookup-table-based 5–3 ...
IEEE

Boolean Searchable Symmetric Encryption With Filters on Trusted Hardware

Abstract: The prevalence and availability of cloud infrastructures has made them the de facto solution for storing and archiving data, both for organizations and individual users. Nonetheless, the ...
IEEE

Classifying Three-input Boolean Functions by Neural Networks

Abstract: Neural networks decide or predict something by learning examples. Recently, improving equips and enlarging data enable the deep learning to perform complex decision. However, some objects ...
IEEE

X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories

Abstract: Silicon-based static random access memories (SRAM) and digital Boolean logic have been the workhorse of the state-of-the-art computing platforms. Despite tremendous strides in scaling the ...
IEEE

Analysis of floating-point round-off error in linear algebra routines for graph clustering

Abstract: We explore the various ways rounding errors can impact the power method for calculating the Fielder vector for graph clustering. A rounding error analysis ...