8 citations · 9 across the 12 of their papers we have counts for
7 papers · 1 filter
CascadeLUT: Information-Ordered Streaming Inference for Bandwidth-Constrained FPGAs
Oliver Cassidy, Marta Andronic, George A. Constantinides
Mapping neural networks to FPGAs enables low-latency, energy-efficient inference, particularly for lookup table (LUT)-based models that eliminate multipliers and map directly to re…
Banked Memories for Soft SIMT Processors
Martin Langhammer, George A. Constantinides
Recent advances in soft GPGPU architectures have shown that a small (<10K LUT), high performance (770 MHz) processor is possible in modern FPGAs. In this paper we architect and eva…
AMPLE: Event-Driven Accelerator for Mixed-Precision Inference of Graph Neural Networks
Pedro Gimenes, Yiren Zhao, George Constantinides
Graph Neural Networks (GNNs) have recently gained attention due to their performance on non-Euclidean data. The use of custom hardware architectures proves particularly beneficial…
ReducedLUT: Table Decomposition with "Don't Care" Conditions
Oliver Cassidy, Marta Andronic, Samuel Coward +1
Lookup tables (LUTs) are frequently used to efficiently store arrays of precomputed values for complex mathematical computations. When used in the context of neural networks, these…
ROVER: RTL Optimization via Verified E-Graph Rewriting
Samuel Coward, Theo Drane, George A. Constantinides
Manual RTL design and optimization remains prevalent across the semiconductor industry because commercial logic and high-level synthesis tools are unable to match human designs. Ou…
Soft GPGPU versus IP cores: Quantifying and Reducing the Performance Gap
Martin Langhammer, George A. Constantinides
eGPU, a recently-reported soft GPGPU for FPGAs, has demonstrated very high clock frequencies (more than 750 MHz) and small footprint. This means that for the first time, commercial…
Combining Power and Arithmetic Optimization via Datapath Rewriting
Samuel Coward, Theo Drane, Emiliano Morini +1
Industrial datapath designers consider dynamic power consumption to be a key metric. Arithmetic circuits contribute a major component of total chip power consumption and are theref…