Survey and Future Trends for FPGA Cloud Architectures. - Hafsah Shahzad; Ahmed Sanaullah; Martin C. Herbordt (HPEC, 2021)

Reinforcement Learning Strategies for Compiler Optimization in High level Synthesis. - Hafsah Shahzad; Ahmed Sanaullah; Sanjay Arora; Robert Munafo; Xiteng Yao; Ulrich Drepper; Martin C. Herbordt (LLVM-HPC@SC, 2022)

The Future of FPGA Acceleration in Datacenters and the Cloud. - Christophe Bobda; Joel Mandebi Mbongue; Paul Chow; Mohammad Ewais; Naif Tarafdar; Juan Camilo Vega; Ken Eguro; Dirk Koch; Suranga Handagala; Miriam Leeser; Martin C. Herbordt; Hafsah Shahzad; et al. (ACM Trans. Reconfigurable Technol. Syst., 2022)

Improved Models for Policy-Agent Learning of Compiler Directives in HLS. - Robert Munafo; Hafsah Shahzad; Ahmed Sanaullah; Sanjay Arora; Ulrich Drepper; Martin C. Herbordt (HPEC, 2023)

A Neural Network Based GCC Cost Model for Faster Compiler Tuning. - Hafsah Shahzad; Ahmed Sanaullah; Sanjay Arora; Ulrich Drepper; Martin C. Herbordt (HPEC, 2024)

Further Optimizations and Analysis of Smith-Waterman with Vector Extensions. - Reza Sajjadinasab; Hamed Rastaghi; Hafsah Shahzad; Sanjay Arora; Ulrich Drepper; Martin C. Herbordt (IPDPS (Workshops), 2024)

AutoAnnotate: Reinforcement Learning based Code Annotation for High Level Synthesis. - Hafsah Shahzad; Ahmed Sanaullah; Sanjay Arora; Ulrich Drepper; Martin C. Herbordt (ISQED, 2024)