Search Results - "Rasoulinezhad, Seyedramin"

Applications and Techniques for Fast Machine Learning in Science by Deiana, Allison McCarn, Tran, Nhan, Agar, Joshua, Blott, Michaela, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Hauck, Scott, Liu, Mia, Neubauer, Mark S, Ngadiuba, Jennifer, Ogrenci-Memik, Seda, Pierini, Maurizio, Aarrestad, Thea, Bähr, Steffen, Becker, Jürgen, Berthold, Anne-Sophie, Bonventre, Richard J, Müller Bravo, Tomás E, Diefenthaler, Markus, Dong, Zhen, Fritzsche, Nick, Gholami, Amir, Govorkova, Ekaterina, Guo, Dongning, Hazelwood, Kyle J, Herwig, Christian, Khan, Babar, Kim, Sehoon, Klijnsma, Thomas, Liu, Yaling, Lo, Kin Ho, Nguyen, Tri, Pezzullo, Gianantonio, Rasoulinezhad, Seyedramin, Rivera, Ryan A, Scholberg, Kate, Selig, Justin, Sen, Sougata, Strukov, Dmitri, Tang, William, Thais, Savannah, Unger, Kai Lukas, Vilalta, Ricardo, von Krosigk, Belina, Wang, Shen, Warburton, Thomas K

“…In this community review report, we discuss applications and techniques for machine learning (ML) in science-the concept of integrating powerful ML methods…”
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Corrigendum: Applications and techniques for fast machine learning in science by Deiana, Allison McCarn, Tran, Nhan, Agar, Joshua, Blott, Michaela, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Hauck, Scott, Liu, Mia, Neubauer, Mark S., Ngadiuba, Jennifer, Ogrenci-Memik, Seda, Pierini, Maurizio, Aarrestad, Thea, Bähr, Steffen, Becker, Jürgen, Berthold, Anne-Sophie, Bonventre, Richard J., Müller Bravo, Tomás E., Diefenthaler, Markus, Dong, Zhen, Fritzsche, Nick, Gholami, Amir, Govorkova, Ekaterina, Guo, Dongning, Hazelwood, Kyle J., Herwig, Christian, Khan, Babar, Kim, Sehoon, Klijnsma, Thomas, Liu, Yaling, Lo, Kin Ho, Nguyen, Tri, Pezzullo, Gianantonio, Rasoulinezhad, Seyedramin, Rivera, Ryan A., Scholberg, Kate, Selig, Justin, Sen, Sougata, Strukov, Dmitri, Tang, William, Thais, Savannah, Unger, Kai Lukas, Vilalta, Ricardo, von Krosigk, Belina, Wang, Shen, Warburton, Thomas K.

“…[This corrects the article DOI: 10.3389/fdata.2022.787421.]…”
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NITI: Training Integer Neural Networks Using Integer-Only Arithmetic by Wang, Maolin, Rasoulinezhad, Seyedramin, Leong, Philip H. W., So, Hayden K.-H.

“…Low bitwidth integer arithmetic has been widely adopted in hardware implementations of deep neural network inference applications. However, despite the…”
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Modified Joint Channel-and-Data Estimation for One-Bit Massive MIMO by Bahari, Mohammadhossein, Rasoulinezhad, Seyedramin, Amiri, Mahdi, Gilani, Farzam, Saadatnejad, Saeed, Nezamalhosseini, Seyed Alireza, Shabany, Mahdi

“…Centralized and cloud computing-based network architectures are the promising tracks of future communication systems where a large scale compute power can be…”
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PIR-DSP: An FPGA DSP Block Architecture for Multi-precision Deep Neural Networks by Rasoulinezhad, SeyedRamin, Zhou, Hao, Wang, Lingli, Leong, Philip H.W.

“…Quantisation is a key optimisation strategy to improve the performance of floating-point deep neural network (DNN) accelerators. Digital signal processing…”
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NITI: Training Integer Neural Networks Using Integer-only Arithmetic by Wang, Maolin, Rasoulinezhad, Seyedramin, Leong, Philip H. W, So, Hayden K. H

“…While integer arithmetic has been widely adopted for improved performance in deep quantized neural network inference, training remains a task primarily…”
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APIR-DSP: An approximate PIR-DSP architecture for error-tolerant applications by Dai, Yuan, Liu, Simin, Lu, Yao, Zhou, Hao, Rasoulinezhad, SeyedRamin, Leong, Philip H.W., Wang, Lingli

“…In error-tolerant applications such as low-precision DNNs and digital filters, approximate arithmetic circuits can significantly reduce hardware resource…”
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Prediction of Life-Threatening Heart Arrhythmias Using Obstructive Sleep Apnoea Characteristics by Alinejad, Ghazaleh Mohammad, Rasoulinezhad, Seyedramin, Shamsollahi, Mohammad Bagher

“…False alarms ratios of up to 86% in Intensive Care Units (ICU) decrease quality of care, impacting both clinical staff and patients through slowing off…”
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MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency by Rasoulinezhad, Seyedramin, Fox, Sean, Zhou, Hao, Wang, Lingli, Boland, David, Leong, Philip H.W.

“…Binarized neural networks (BNNs) have shown exciting potential for utilising neural networks in embedded implementations where area, energy and latency…”
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LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations by Rasoulinezhad, SeyedRamin, Siddhartha, Zhou, Hao, Wang, Lingli, Boland, David, Leong, Philip H. W

“…We propose two tiers of modifications to FPGA logic cell architecture to deliver a variety of performance and utilization benefits with only minor area…”
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MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency by Rasoulinezhad, Seyedramin, Fox, Sean, Zhou, Hao, Wang, Lingli, Boland, David, Leong, Philip H. W

“…International Conference on Field-Programmable Technology, {FPT} 2019,Tianjin, China, December 9-13, 2019 Binarized neural networks (BNNs) have shown exciting…”
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Applications and Techniques for Fast Machine Learning in Science by Deiana, Allison McCarn, Tran, Nhan, Agar, Joshua, Blott, Michaela, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Hauck, Scott, Liu, Mia, Neubauer, Mark S, Ngadiuba, Jennifer, Ogrenci-Memik, Seda, Pierini, Maurizio, Aarrestad, Thea, Bahr, Steffen, Becker, Jurgen, Berthold, Anne-Sophie, Bonventre, Richard J, Bravo, Tomas E. Muller, Diefenthaler, Markus, Dong, Zhen, Fritzsche, Nick, Gholami, Amir, Govorkova, Ekaterina, Hazelwood, Kyle J, Herwig, Christian, Khan, Babar, Kim, Sehoon, Klijnsma, Thomas, Liu, Yaling, Lo, Kin Ho, Nguyen, Tri, Pezzullo, Gianantonio, Rasoulinezhad, Seyedramin, Rivera, Ryan A, Scholberg, Kate, Selig, Justin, Sen, Sougata, Strukov, Dmitri, Tang, William, Thais, Savannah, Unger, Kai Lukas, Vilalta, Ricardo, Krosigk, Belinavon, Warburton, Thomas K, Flechas, Maria Acosta, Aportela, Anthony, Calvet, Thomas, Cristella, Leonardo, Diaz, Daniel, Doglioni, Caterina, Galati, Maria Domenica, Khoda, Elham E, Fahim, Farah, Giri, Davide, Hawks, Benjamin, Hoang, Duc, Holzman, Burt, Hsu, Shih-Chieh, Jindariani, Sergo, Johnson, Iris, Kansal, Raghav, Kastner, Ryan, Katsavounidis, Erik, Krupa, Jeffrey, Li, Pan, Madireddy, Sandeep, Marx, Ethan, McCormack, Patrick, Meza, Andres, Mitrevski, Jovan, Mohammed, Mohammed Attia, Mokhtar, Farouk, Moreno, Eric, Nagu, Srishti, Narayan, Rohin, Palladino, Noah, Que, Zhiqiang, Park, Sang Eon, Ramamoorthy, Subramanian, Rankin, Dylan, Rothman, Simon, Sharma, Ashish, Summers, Sioni, Vischia, Pietro, Vlimant, Jean-Roch, Weng, Olivia

“…Front. Big Data 5, 787421 (2022) In this community review report, we discuss applications and techniques for fast machine learning (ML) in science -- the…”
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