Philip Colangelo

19 papers A 2B 1C 1Misc 2Journal 5Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Turning AI Data Centers into Grid-Interactive Assets: Results from a Field Demonstration in Phoenix, Arizona. CoRR 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, Nathan Morey, Anuja Ratnayake, Baskar Vairamohan
2023	—	`conf`	Exploring the Use of Dataflow Architectures for Graph Neural Network Workloads. ISC Workshops Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Ramakrishnan Sivakumar, Sanjif Shanmugavelu, Zhengyu Chen, Lev Zlotnik, Mingran Wang, Philip Colangelo, Andrew Deng, Philip Lassen, Shukur Pathan
2020	—	`conf`	AutoML for Multilayer Perceptron and FPGA Co-design. SoCC Philip Colangelo, Oren Segal, Alexander Speicher, Martin Margala
2020	J	`jnl`	AutoML for Multilayer Perceptron and FPGA Co-design. CoRR Philip Colangelo, Oren Segal, Alexander Speicher, Martin Margala
2020	—	`conf`	Automated Hardware and Neural Network Architecture co-design of FPGA accelerators using multi-objective Neural Architecture Search. ICCE-Berlin Philip Colangelo, Oren Segal, Alexander Speicher, Martin Margala
2020	C	`conf`	Sparse Persistent GEMM Accelerator using OpenCL for Intel FPGAs. ISCAS Philip Colangelo, Shayan Sengupta, Martin Margala
2019	—	`conf`	Artificial Neural Network and Accelerator Co-design using Evolutionary Algorithms. HPEC Philip Colangelo, Oren Segal, Alexander Speicher, Martin Margala
2019	—	`conf`	BFLOAT MLP Training Accelerator for FPGAs. ReConFig Andrei Hagiescu, Martin Langhammer, Bogdan Pasca, Philip Colangelo, Jason Thong, Niayesh Ilkhani
2019	J	`jnl`	Evolutionary Cell Aided Design for Neural Network Architectures. CoRR Philip Colangelo, Oren Segal, Alexander Speicher, Martin Margala
2018	J	`jnl`	Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs. CoRR Philip Colangelo, Nasibeh Nasiri, Asit K. Mishra, Eriko Nurvitadhi, Martin Margala, Kevin Nealis
2018	Misc	`conf`	Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs. FCCM Philip Colangelo, Nasibeh Nasiri, Eriko Nurvitadhi, Asit K. Mishra, Martin Margala, Kevin Nealis
2018	A	`conf`	Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs: (Abstract Only). FPGA Philip Colangelo, Nasibeh Nasiri, Eriko Nurvitadhi, Asit K. Mishra, Martin Margala, Kevin Nealis
2018	A	`conf`	In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC(Abstract Only). FPGA 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
2018	B	`conf`	In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC. FPL 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
2017	—	`conf`	Application of convolutional neural networks on Intel® Xeon® processor with integrated FPGA. HPEC Philip Colangelo, Enno Lübbers, Randy Huang, Martin Margala, Kevin Nealis
2017	Misc	`conf`	Fine-Grained Acceleration of Binary Neural Networks Using Intel® Xeon® Processor with Integrated FPGA. FCCM Philip Colangelo, Randy Huang, Enno Lübbers, Martin Margala, Kevin Nealis
2016	—	`conf`	Document classification systems in heterogeneous computing environments. PATMOS Nasibeh Nasiri, Philip Colangelo, Oren Segal, Martin Margala, Wim Vanderbauwhede
2015	—	`conf`	Aparapi-UCores: A high level programming framework for unconventional cores. HPEC Oren Segal, Philip Colangelo, Nasibeh Nasiri, Zhuo Qian, Martin Margala
2015	J	`jnl`	SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters. CoRR Oren Segal, Philip Colangelo, Nasibeh Nasiri, Zhuo Qian, Martin Margala