Aparapi-UCores: A high level programming framework for unconventional cores. - Oren Segal; Philip Colangelo; Nasibeh Nasiri; Zhuo Qian; Martin Margala (HPEC, 2015)

SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters. - Oren Segal; Philip Colangelo; Nasibeh Nasiri; Zhuo Qian; Martin Margala (CoRR, 2015)

Document classification systems in heterogeneous computing environments. - Nasibeh Nasiri; Philip Colangelo; Oren Segal; Martin Margala; Wim Vanderbauwhede (PATMOS, 2016)

Fine-Grained Acceleration of Binary Neural Networks Using Intel® Xeon® Processor with Integrated FPGA. - Philip Colangelo; Randy Huang; Enno Lübbers; Martin Margala; Kevin Nealis (FCCM, 2017)

Application of convolutional neural networks on Intel® Xeon® processor with integrated FPGA. - Philip Colangelo; Enno Lübbers; Randy Huang; Martin Margala; Kevin Nealis (HPEC, 2017)

Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs. - Philip Colangelo; Nasibeh Nasiri; Eriko Nurvitadhi; Asit K. Mishra; Martin Margala; Kevin Nealis (FCCM, 2018)

Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs: (Abstract Only). - Philip Colangelo; Nasibeh Nasiri; Eriko Nurvitadhi; Asit K. Mishra; Martin Margala; Kevin Nealis (FPGA, 2018)

In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC(Abstract Only). - Eriko Nurvitadhi; Jeffrey J. Cook; Asit K. Mishra; Debbie Marr; Kevin Nealis; Philip Colangelo; Andrew C. Ling; Davor Capalija; Utku Aydonat; Sergey Y. Shumarayev; Aravind Dasu (FPGA, 2018)

In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC. - Eriko Nurvitadhi; Jeffrey J. Cook; Asit K. Mishra; Debbie Marr; Kevin Nealis; Philip Colangelo; Andrew C. Ling; Davor Capalija; Utku Aydonat; Aravind Dasu; Sergey Y. Shumarayev (FPL, 2018)

Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs. - Philip Colangelo; Nasibeh Nasiri; Asit K. Mishra; Eriko Nurvitadhi; Martin Margala; Kevin Nealis (CoRR, 2018)

Artificial Neural Network and Accelerator Co-design using Evolutionary Algorithms. - Philip Colangelo; Oren Segal; Alexander Speicher; Martin Margala (HPEC, 2019)

BFLOAT MLP Training Accelerator for FPGAs. - Andrei Hagiescu; Martin Langhammer; Bogdan Pasca 001; Philip Colangelo; Jason Thong; Niayesh Ilkhani (ReConFig, 2019)

Evolutionary Cell Aided Design for Neural Network Architectures. - Philip Colangelo; Oren Segal; Alexander Speicher; Martin Margala (CoRR, 2019)

Automated Hardware and Neural Network Architecture co-design of FPGA accelerators using multi-objective Neural Architecture Search. - Philip Colangelo; Oren Segal; Alexander Speicher; Martin Margala (ICCE-Berlin, 2020)

Sparse Persistent GEMM Accelerator using OpenCL for Intel FPGAs. - Philip Colangelo; Shayan Sengupta; Martin Margala (ISCAS, 2020)

AutoML for Multilayer Perceptron and FPGA Co-design. - Philip Colangelo; Oren Segal; Alexander Speicher; Martin Margala (SoCC, 2020)

Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads. - Ryien Hosseini; Filippo Simini; Venkatram Vishwanath; Ramakrishnan Sivakumar; Sanjif Shanmugavelu; Zhengyu Chen; Lev Zlotnik; Mingran Wang; Philip Colangelo; Andrew Deng; Philip Lassen; Shukur Pathan (ISC Workshops, 2023)

Turning AI Data Centers into Grid-Interactive Assets: Results from a Field Demonstration in Phoenix, Arizona. - Philip Colangelo; Ayse K. Coskun; Jack Megrue; Ciaran Roberts; Shayan Sengupta; Varun Sivaram; Ethan Tiao; Aroon Vijaykar; Chris Williams; Daniel C. Wilson; Zack MacFarland; Daniel Dreiling; et al. (CoRR, 2025)