Full name Familienname, Vorname
Putra, Rachmad Vidya Wicaksana
 
Main Affiliation Organisations­zuordnung
 

Results 1-15 of 15 (Search time: 0.002 seconds).

PreviewAuthors / EditorsTitleTypeIssue Date
1Shafique, Muhammad ; Marchisio, Alberto ; Wicaksana Putra, Rachmad Vidya ; Hanif, Muhammad Abdullah Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session PaperKonferenzbeitrag Inproceedings2021
2Putra, Rachmad Vidya Wicaksana ; Shafique, Muhammad SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic EnvironmentsKonferenzbeitrag Inproceedings 2021
3Putra, Rachmad Vidya Wicaksana ; Hanif, Muhammad Abdullah ; Shafique, Muhammad SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAMKonferenzbeitrag Inproceedings 2021
4Putra, Rachmad Vidya Wicaksana ; Hanif, Muhammad Abdullah ; Shafique, Muhammad SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft ErrorsInproceedings Konferenzbeitrag 2022
5Putra, Rachmad Vidya Wicaksana ; Hanif, Muhammad Abdullah ; Shafique, Muhammad ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network AcceleratorsArtikel Article2021
6Hanif, Muhammad Abdullah ; Khalid, Faiq ; Putra, Rachmad Vidya Wicaksana ; Rehman, Semeen ; Shafique, Muhammad Robust Machine Learning Systems: Reliability and Security for Deep Neural NetworksKonferenzbeitrag Inproceedings 2018
7Hanif, Muhammad Abdullah ; Khalid, Faiq ; Putra, Rachmad Vidya Wicaksana ; Teimoori, Mohammad Taghi ; Kriebel, Florian ; Zhang, Jeff (Jun) ; Liu, Kang ; Rehman, Semeen ; Theocharides, Theocharis ; Artusi, Alessandro ; Garg, Siddharth ; Shafique, Muhammad ; Henkel, Jörg ; Dutt, Nikil Robust Computing for Machine Learning-Based SystemsBuchbeitrag Book Contribution 2020
8Wicaksana Putra, Rachmad Vidya ; Hanif, Muhammad Abdullah ; Shafique, Muhammad ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable MemoriesKonferenzbeitrag Inproceedings 2021
9Putra, Rachmad Vidya Wicaksana ; Shafique, Muhammad Q-SpiNN: A Framework for Quantizing Spiking Neural NetworksKonferenzbeitrag Inproceedings 2021
10Wicaksana Putra, Rachmad Vidya ; Shafique, Muhammad lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous AgentsInproceedings Konferenzbeitrag 2022
11Marchisio, Alberto ; Putra, Rachmad Vidya Wicaksana ; Hanif, Muhammad Abdullah ; Shafique, Muhammad HW/SW co-design and co-optimizations for deep learningKonferenzbeitrag Inproceedings 2018
12Putra, Rachmad Vidya Wicaksana ; Shafique, Muhammad FSpiNN: An Optimization Framework for Memory-Efficient and Energy-Efficient Spiking Neural NetworksArtikel Article2020
13Putra, Rachmad Vidya Wicaksana ; Hanif, Muhammad Abdullah ; Shafique, Muhammad EnforceSNN: Enabling resilient and energy-efficient spiking neural network inference considering approximate DRAMs for embedded systemsArticle Artikel 2022
14Wicaksana Putra, Rachmad Vidya ; Abdullah Hanif, Muhammad ; Shafique, Muhammad DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural NetworksKonferenzbeitrag Inproceedings 2020
15Achararit, Paniti ; Hanif, Muhammad Abdullah ; Putra, Rachmad Vidya Wicaksana ; Shafique, Muhammad ; Hara-Azumi, Yuko APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware AcceleratorsArtikel Article2020