6 citations · 13 across the 11 of their papers we have counts for
4 papers · 1 filter
Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization
Zachary Susskind, Bryce Arden, Lizy K. John +2
Neuro-symbolic artificial intelligence is a novel area of AI research which seeks to combine traditional rules-based AI approaches with modern deep learning techniques. Neuro-symbo…
Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs
Aman Arora, Bagus Hanindhito, Lizy K. John
The configurable building blocks of current FPGAs -- Logic blocks (LBs), Digital Signal Processing (DSP) slices, and Block RAMs (BRAMs) -- make them efficient hardware accelerators…
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research
Aman Arora, Andrew Boutros, Daniel Rauch +9
With the prevalence of deep learning (DL) in many applications, researchers are investigating different ways of optimizing FPGA architecture and CAD to achieve better quality-of-re…
Virtual-Link: A Scalable Multi-Producer, Multi-Consumer Message Queue Architecture for Cross-Core Communication
Qinzhe Wu, Jonathan Beard, Ashen Ekanayake +2
Cross-core communication is increasingly a bottleneck as the number of processing elements increase per system-on-chip. Typical hardware solutions to cross-core communication are o…