A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems - Armin Danesh Pazho; Ghazal Alinezhad Noghre; Arnab A. Purkayastha; Jagannadh Vempati; Martin Otto; Hamed Tabkhi (IEEE Trans. Knowl. Data Eng., 2024)

Periodically refreshed quantum thermal machines - Arnab A. Purkayastha; Giacomo Guarnieri; Steve Campbell; Javier Prior; John Goold (Quantum, 2022)

A Comprehensive Survey of Graph-based Deep Learning Approaches for Anomaly Detection in Complex Distributed Systems - Armin Danesh Pazho; Ghazal Alinezhad Noghre; Arnab A. Purkayastha; Jagannadh Vempati; Martin Otto; Hamed Tabkhi (CoRR, 2022)

Design Study on Impact of Memory Access Parallelism for Cloud FPGAs - Arnab A. Purkayastha; Hamed Tabkhi (34th IEEE International System-on-Chip Conference, SOCC 2021, Las Vegas, NV, USA, September 14-17, 2021, 2021)

LLVM-based automation of memory decoupling for OpenCL applications on FPGAs - Arnab A. Purkayastha; Samuel Rogers; Suhas A. Shiddibhavi; Hamed Tabkhi (Microprocess. Microsystems, 2020)

Exploring the Scalability of OpenCL Coarse Grained Parallelism on Cloud FPGAs - Jhanani Thiagarajan; Arnab A. Purkayastha; Atul Patil; Hamed Tabkhi (33rd IEEE International System-on-Chip Conference, SoCC 2020, Las Vegas, NV, USA, September 8-11, 2020, 2020)

Exploring the Efficiency of OpenCL Pipe for Hiding Memory Latency on Cloud FPGAs - Arnab A. Purkayastha; Sai Raghavendran; Jhanani Thiagarajan; Hamed Tabkhi (2019 IEEE High Performance Extreme Computing Conference, HPEC 2019, Waltham, MA, USA, September 24-26, 2019, 2019)

Taxonomy of Spatial Parallelism on FPGAs for Massively Parallel Applications - Arnab A. Purkayastha; Suhas Ashok Shiddhibhavi; Hamed Tabkhi (31st IEEE International System-on-Chip Conference, SOCC 2018, Arlington, VA, USA, September 4-7, 2018, 2018)