Edward Richter

According to our database, Edward Richter authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

FSSD: FPGA-Based Emulator for SSDs.

Luyang Yu, Yizhen Lu, Meghna Mandava, Edward Richter, Vikram Sharma Mailthody, Seungwon Min, Wen-Mei W. Hwu, Deming Chen

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

2022

DML: Dynamic Partial Reconfiguration With Scalable Task Scheduling for Multi-Applications on FPGAs.

Ashutosh Dhar, Edward Richter, Mang Yu, Wei Zuo, Xiaohao Wang, Nam Sung Kim, Deming Chen

IEEE Trans. Computers, 2022

Qilin: Enabling Performance Analysis and Optimization of Shared-Virtual Memory Systems with FPGA Accelerators.

Edward Richter, Deming Chen

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

RANC: Reconfigurable Architecture for Neuromorphic Computing.

Joshua Mack, Ruben Purdy, Kris Rockowitz, Michael Inouye, Edward Richter, Spencer Valancius, Nirmal Kumbhare, Md Sahil Hassan, Kaitlin Lindsay Fair, John Mixter, Ali Akoglu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19.

Vikram Sharma Mailthody, James Wei, Nicholas Chen, Mohammad Behnia, Ruihao Yao, Qihao Wang, Vedant Agrawal, Churan He, Lijian Wang, Leihao Chen, Amit Agarwal, Edward Richter, Wen-Mei Hwu, Christopher W. Fletcher, Jinjun Xiong, Andrew Miller, Sanjay Patel

CoRR, 2021

2020

FPGA Based Emulation Environment for Neuromorphic Architectures.

Spencer Valancius, Edward Richter, Ruben Purdy, Kris Rockowitz, Michael Inouye, Joshua Mack, Nirmal Kumbhare, Kaitlin Lindsay Fair, John Mixter, Ali Akoglu

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019

Accelerated Shadow Detection and Removal Method.

Edward Richter, Ryan Raettig, Joshua Mack, Spencer Valancius, Burak Unal, Ali Akoglu

Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

2018

Balancing the learning ability and memory demand of a perceptron-based dynamically trainable neural network.

Edward Richter, Spencer Valancius, Josiah McClanahan, John Mixter, Ali Akoglu

J. Supercomput., 2018

2017

Application-Specific Autonomic Cache Tuning for General Purpose GPUs.

Sam Gianelli, Edward Richter, Diego Jiménez, Hugo Valdez, Tosiron Adegbija, Ali Akoglu

Proceedings of the 2017 International Conference on Cloud and Autonomic Computing, 2017