From the 1 of 4 linked papers with an AI index.
4 papers
NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference
Jiajun Hu, Ruthwik Reddy Sunketa, Lei Zhao +3
The paper proposes a new FPGA architecture that replaces ADCs with analog content‑addressable memories to enable ADC‑free in‑memory computing, allowing both linear and nonlinear op…
Boosting FPGA Performance with Direct BRAM-DSP Paths
Jiajun Hu, Ruthwik Reddy Sunketa, Andrew Boutros +1
Efficient data movement between memory and compute units is a key performance bottleneck in modern FPGA designs, particularly for deep learning (DL) workloads. In typical FPGA arch…
CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs
Jiajun Hu, Chetan Choppali Sudarshan, Vidya A. Chhabria +1
Over the years, the chip industry has consistently developed high-performance processors to address the increasing demands across diverse applications. However, the rapid expansion…
SAF: Scalable Acceleration Framework for dynamic and flexible scaling of FPGAs
Masudul Hassan Quraishi, Michael Riera, Fengbo Ren +2
FPGAs are increasingly gaining traction in cloud and edge computing environments due to their hardware flexibility, low latency, and low energy consumption. However, the existing h…