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

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

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

Design Study on Impact of Memory Access Parallelism for Cloud FPGAs. - Purkayastha, Arnab A.; Tabkhi, Hamed (2021)

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

Exploring the Scalability of OpenCL Coarse Grained Parallelism on Cloud FPGAs. - Thiagarajan, Jhanani; Purkayastha, Arnab A.; Patil, Atul; Tabkhi, Hamed (2020)

Exploring the Efficiency of OpenCL Pipe for Hiding Memory Latency on Cloud FPGAs. - Purkayastha, Arnab A.; Raghavendran, Sai; Thiagarajan, Jhanani; Tabkhi, Hamed (2019)

Taxonomy of Spatial Parallelism on FPGAs for Massively Parallel Applications. - Purkayastha, Arnab A.; Shiddhibhavi, Suhas Ashok; Tabkhi, Hamed (2018)