Philip Colangelo

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 16

Top Topics

Multilayer Perceptron

Hardware Implementation

Network Architecture

Top Venues

Publications

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