PennantPark Floating Rate Capital remains unattractive due to excessive leverage and weak dividend coverage despite a strong credit portfolio. PFLT's P/NAV has fallen to 0.77x, and the dividend yield ...

Abstract: This paper presents a novel design for a fused floating-point four-term dot product unit. The dot product is one of the most frequently used operations for a wide variety of graphics, ...

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 ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

This project contains one bsv file which contains both testbench and the FP adder. Each of them are designed as different module, inwhich the top module is the test bench which gives the inputs to the ...

Petabytes of data efficiently travels between edge devices and data centers for processing and computing of AI functions. Accurate and optimized hardware implementations of functions offload many ...

In our previous work we have shown that resistive cross point devices, so called resistive processing unit (RPU) devices, can provide significant power and speed benefits when training deep fully ...