9 citations · 14 across the 5 of their papers we have counts for
5 papers
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…
A Statically and Dynamically Scalable Soft GPGPU
Martin Langhammer, George A. Constantinides
Current soft processor architectures for FPGAs do not utilize the potential of the massive parallelism available. FPGAs now support many thousands of embedded floating point operat…
Microscaling Data Formats for Deep Learning
Bita Darvish Rouhani, Ritchie Zhao, Ankit More +30
Narrow bit-width data formats are key to reducing the computational and storage costs of modern deep learning applications. This paper evaluates Microscaling (MX) data formats that…
eGPU: A 750 MHz Class Soft GPGPU for FPGA
Martin Langhammer, George Constantinides
This paper introduces the eGPU, a SIMT soft processor designed for FPGAs. Soft processors typically achieve modest operating frequencies, a fraction of the headline performance cla…
Tools and Techniques for Efficient High-Level System Design on FPGAs
Adrian J. Chung, Kathryn Cobden, Mark Jervis +2
In order for FPGAs to be successful outside traditional markets, tools which enable software programmers to achieve high levels of system performance while abstracting away the FPG…