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ORCIDRachmad Vidya Wicaksana Putra
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2020 – today
- 2024
[i25]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network Systems. CoRR abs/2402.11322 (2024)- [i24]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
A Methodology for Improving Accuracy of Embedded Spiking Neural Networks through Kernel Size Scaling. CoRR abs/2404.01685 (2024) - [i23]Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique:
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. CoRR abs/2404.03325 (2024) - [i22]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data. CoRR abs/2404.03493 (2024) - [i21]Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents. CoRR abs/2404.09331 (2024) - [i20]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
HASNAS: A Hardware-Aware Spiking Neural Architecture Search Framework for Neuromorphic Compute-in-Memory Systems. CoRR abs/2407.00641 (2024) - [i19]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems. CoRR abs/2407.05262 (2024) - [i18]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy. CoRR abs/2408.02412 (2024) - [i17]Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique:
Continual Learning with Neuromorphic Computing: Theories, Methods, and Applications. CoRR abs/2410.09218 (2024) - 2023
- [c20]Rachmad Vidya Wicaksana Putra, Muhammad Shafique
:
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. ICARA 2023: 197-201 - [c19]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. IROS 2023: 3561-3567 - [i16]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. CoRR abs/2303.01826 (2023) - [i15]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. CoRR abs/2304.04039 (2023) - [i14]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. CoRR abs/2304.04041 (2023) - 2022
- [c18]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. DAC 2022: 151-156 - [c17]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. IJCNN 2022: 1-8 - [i13]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors. CoRR abs/2203.05523 (2022) - [i12]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. CoRR abs/2205.12295 (2022) - [i11]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks. CoRR abs/2206.08656 (2022) - [i10]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. CoRR abs/2212.12620 (2022) - 2021
- [j3]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 702-715 (2021) - [c16]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. DAC 2021: 379-384 - [c15]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. DAC 2021: 1057-1062 - [c14]Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c13]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. ICCAD 2021: 1-9 - [c12]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. IJCNN 2021: 1-8 - [i9]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. CoRR abs/2103.00421 (2021) - [i8]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. CoRR abs/2103.00424 (2021) - [i7]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. CoRR abs/2107.01807 (2021) - [i6]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. CoRR abs/2108.10271 (2021) - [i5]Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. CoRR abs/2109.09829 (2021) - 2020
- [j2]Paniti Achararit, Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Shafique, Yuko Hara-Azumi:
APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators. IEEE Access 8: 165319-165334 (2020) - [j1]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
FSpiNN: An Optimization Framework for Memory-Efficient and Energy-Efficient Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3601-3613 (2020) - [c11]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. DAC 2020: 1-6 - [i4]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. CoRR abs/2004.10341 (2020) - [i3]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks. CoRR abs/2007.08860 (2020)
2010 – 2019
- 2019
- [i2]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ROMANet: Fine-Grained Reuse-Driven Data Organization and Off-Chip Memory Access Management for Deep Neural Network Accelerators. CoRR abs/1902.10222 (2019) - 2018
- [c10]Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
HW/SW co-design and co-optimizations for deep learning. INTESA@ESWEEK 2018: 13-18 - [c9]Muhammad Abdullah Hanif, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Semeen Rehman, Muhammad Shafique:
Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. IOLTS 2018: 257-260 - [i1]Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Tanvir, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks. CoRR abs/1810.12910 (2018) - 2016
- [c8]Trio Adiono, Angga Pradana, Rachmad Vidya Wicaksana Putra, Syifaul Fuada:
Analog filters design in VLC analog front-end receiver for reducing indoor ambient light noise. APCCAS 2016: 581-584 - [c7]Trio Adiono, Maulana Yusuf Fathany, Rachmad Vidya Wicaksana Putra, Khilda Afifah, Muhammad Husni Santriaji, Braham Lawas Lawu, Syifaul Fuada:
Live demonstration: MINDS - Meshed and internet networked devices system for smart home: Track selection: Embedded systems. APCCAS 2016: 736-737 - [c6]Trio Adiono, Radhian Ferel Armansyah, Fadhli Dzil Ikram, Swizya Satira Nolika, Rachmad Vidya Wicaksana Putra, Amy Hamidah Salman:
Parallel morphological template matching design for efficient human detection application. ISPACS 2016: 1-4 - [c5]Trio Adiono, Mahendra Drajat Adhinata, Novi Prihatiningrum, Ricky Disastra, Rachmad Vidya Wicaksana Putra, Amy Hamidah Salman:
An architecture design of SAD based template matching for fast queue counter in FPGA. ISPACS 2016: 1-4 - [c4]Prasetiyo, Rachmad Vidya Wicaksana Putra, Trio Adiono, Amy Hamidah Salman:
Kurtosis and energy based spectrum detection for SDR based RF monitoring system. ISPACS 2016: 1-5 - 2015
- [c3]Rachmad Vidya Wicaksana Putra, Trio Adiono:
Optimized hardware algorithm for integer cube root calculation and its efficient architecture. ISPACS 2015: 263-267 - 2014
- [c2]Rachmad Vidya Wicaksana Putra, Trio Adiono:
A register-free and homogenous architecture for square root algorithm. IC3INA 2014: 64-68 - 2011
- [c1]Rachmad Vidya Wicaksana Putra, Rella Mareta, Nurfitri Anbarsanti, Trio Adiono:
The efficient mCBE algorithm and quantization numbers for multiplierless and low complexity DCT/IDCT Image Compression Architecture. ICEEI 2011: 1-6
Coauthor Index
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last updated on 2024-11-25 23:42 CET by the dblp team
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