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2020 – today
- 2024
[j17]Matteo Perotti
, Matheus A. Cavalcante, Renzo Andri, Lukas Cavigelli, Luca Benini:
Ara2: Exploring Single- and Multi-Core Vector Processing With an Efficient RVV 1.0 Compliant Open-Source Processor. IEEE Trans. Computers 73(7): 1822-1836 (2024)- [j16]Theocharis Theocharides, Charlotte Frenkel, Lukas Cavigelli:
Introduction to the Special Issue on tinyML. ACM Trans. Embed. Comput. Syst. 23(3): 40:1-40:5 (2024) - [c36]Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini:
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. AICAS 2024: 6-10 - [i39]Cristian Cioflan, Lukas Cavigelli, Luca Benini:
Boosting keyword spotting through on-device learnable user speech characteristics. CoRR abs/2403.07802 (2024) - [i38]Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini:
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. CoRR abs/2403.10549 (2024) - [i37]Aritra Dhar, Clément Thorens, Lara Magdalena Lazier, Lukas Cavigelli:
Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads. CoRR abs/2407.11888 (2024) - 2023
- [j15]Luzian Lebovitz, Lukas Cavigelli, Michele Magno, Lorenz K. Müller:
Efficient Inference With Model Cascades. Trans. Mach. Learn. Res. 2023 (2023) - [c35]Enrico Reggiani, Renzo Andri, Lukas Cavigelli:
Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation. DAC 2023: 1-6 - [c34]Antoine Scardigli, Lukas Cavigelli, Lorenz K. Müller:
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing. NeurIPS 2023 - [i36]Enrico Reggiani, Renzo Andri, Lukas Cavigelli:
Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation. CoRR abs/2305.04546 (2023) - [i35]Georgios Zacharopoulos, Ilias Bournias, Verner Vlacic, Lukas Cavigelli:
ReDSEa: Automated Acceleration of Triangular Solver on Supercloud Heterogeneous Systems. CoRR abs/2305.19917 (2023) - [i34]Antoine Scardigli, Lukas Cavigelli, Lorenz K. Müller:
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing. CoRR abs/2310.03507 (2023) - [i33]Matteo Perotti, Matheus A. Cavalcante, Renzo Andri, Lukas Cavigelli, Luca Benini:
Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor. CoRR abs/2311.07493 (2023) - [i32]Jannis Schönleber, Lukas Cavigelli, Renzo Andri, Matteo Perotti, Luca Benini:
Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication. CoRR abs/2311.10207 (2023) - 2022
- [j14]Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini:
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1020-1033 (2022) - [j13]Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini:
Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference. IEEE Trans. Circuits Syst. I Regul. Pap. 69(1): 244-257 (2022) - [j12]Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini:
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 2002-2012 (2022) - [c33]Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini:
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. AICAS 2022: 82-85 - [c32]Matteo Perotti, Matheus A. Cavalcante, Nils Wistoff, Renzo Andri, Lukas Cavigelli, Luca Benini:
A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design. ASAP 2022: 43-51 - [c31]Renzo Andri, Beatrice Bussolino, Antonio Cipolletta, Lukas Cavigelli, Zhe Wang:
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tiles. MICRO 2022: 582-598 - [i31]Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini:
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. CoRR abs/2201.03386 (2022) - [i30]Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini:
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference. CoRR abs/2202.07462 (2022) - [i29]Renzo Andri, Beatrice Bussolino, Antonio Cipolletta, Lukas Cavigelli, Zhe Wang:
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile. CoRR abs/2209.12982 (2022) - [i28]Matteo Perotti, Matheus A. Cavalcante, Nils Wistoff, Renzo Andri, Lukas Cavigelli, Luca Benini:
A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design. CoRR abs/2210.08882 (2022) - 2021
- [j11]Xiaying Wang, Lukas Cavigelli, Tibor Schneider, Luca Benini:
Sub-100 $\mu$W Multispectral Riemannian Classification for EEG-Based Brain-Machine Interfaces. IEEE Trans. Biomed. Circuits Syst. 15(6): 1149-1160 (2021) - [c30]Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini:
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. AICAS 2021: 1-4 - [c29]Xavier Timoneda, Lukas Cavigelli:
Late Breaking Results: Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks. DAC 2021: 1378-1379 - [c28]Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini:
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. ISCAS 2021: 1-5 - [c27]Xiaying Wang, Tibor Schneider, Michael Hersche, Lukas Cavigelli, Luca Benini:
Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain-Machine Interfaces. ISCAS 2021: 1-5 - [i27]Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini:
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices. CoRR abs/2101.04446 (2021) - [i26]Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini:
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. CoRR abs/2103.13740 (2021) - [i25]Xavier Timoneda, Lukas Cavigelli:
Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks. CoRR abs/2105.01755 (2021) - 2020
- [j10]Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini:
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. IEEE Internet Things J. 7(5): 4403-4417 (2020) - [j9]Lukas Cavigelli, Luca Benini:
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams. IEEE Trans. Circuits Syst. Video Technol. 30(5): 1451-1465 (2020) - [c26]Michele Magno, Xiaying Wang, Manuel Eggimann, Lukas Cavigelli, Luca Benini:
InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting. DATE 2020: 342-345 - [c25]Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Elisabetta Farella, Michele Magno, Luca Benini:
Sound event detection with binary neural networks on tightly power-constrained IoT devices. ISLPED 2020: 19-24 - [c24]Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini:
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. SMARTCOMP 2020: 284-289 - [c23]Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, Nobuaki Kobayashi, Lukas Cavigelli, Luca Benini:
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. SMC 2020: 2958-2965 - [i24]Lukas Cavigelli, Luca Benini:
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks. CoRR abs/2001.01091 (2020) - [i23]Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini:
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. CoRR abs/2004.11690 (2020) - [i22]Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini:
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. CoRR abs/2005.07137 (2020) - [i21]Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, Nobuaki Kobayashi, Lukas Cavigelli, Luca Benini:
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. CoRR abs/2006.00622 (2020) - [i20]Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini:
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency. CoRR abs/2011.01713 (2020)
2010 – 2019
- 2019
- [b1]Lukas Cavigelli:
Towards energy-efficient convolutional neural network inference. ETH Zurich, Zürich, Switzerland, Hartung-Gorre Verlag 2019, ISBN 978-3-86628-651-1, pp. 1-233 - [j8]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 309-322 (2019) - [j7]Lukas Cavigelli, Georg Rutishauser, Luca Benini:
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(4): 723-734 (2019) - [j6]Michele Magno, Lukas Sigrist, Andres Gomez, Lukas Cavigelli, Antonio Libri, Emanuel M. Popovici, Luca Benini:
SmarTEG: An Autonomous Wireless Sensor Node for High Accuracy Accelerometer-Based Monitoring. Sensors 19(12): 2747 (2019) - [c22]Lukas Cavigelli, Luca Benini:
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators. AICAS 2019: 279-283 - [c21]Alessio Burrello, Lukas Cavigelli, Kaspar Schindler, Luca Benini, Abbas Rahimi:
Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms. DATE 2019: 752-757 - [c20]Michele Magno, Lukas Cavigelli, Philipp Mayer, Ferdinand von Hagen, Luca Benini:
FANNCortexM: An Open Source Toolkit for Deployment of Multi-layer Neural Networks on ARM Cortex-M Family Microcontrollers : Performance Analysis with Stress Detection. WF-IoT 2019: 793-798 - [i19]Matteo Spallanzani, Lukas Cavigelli, Gian Paolo Leonardi, Marko Bertogna, Luca Benini:
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks. CoRR abs/1905.10452 (2019) - [i18]Lukas Cavigelli, Georg Rutishauser, Luca Benini:
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. CoRR abs/1908.11645 (2019) - [i17]Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini:
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. CoRR abs/1911.03314 (2019) - [i16]Xiaying Wang, Lukas Cavigelli, Manuel Eggimann, Michele Magno, Luca Benini:
HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data. CoRR abs/1912.04441 (2019) - 2018
- [j5]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(1): 48-60 (2018) - [j4]Andrin Caviezel, Michael Schaffner, Lukas Cavigelli, Pascal Niklaus, Yves Bühler, Perry Bartelt, Michele Magno, Luca Benini:
Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments. IEEE Trans. Instrum. Meas. 67(4): 767-779 (2018) - [j3]Michael Schaffner, Florian Scheidegger, Lukas Cavigelli, Hubert Kaeslin, Luca Benini, Aljosa Smolic:
Towards Edge-Aware Spatio-Temporal Filtering in Real-Time. IEEE Trans. Image Process. 27(1): 265-280 (2018) - [c19]Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini:
Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array. BioCAS 2018: 1-4 - [c18]Francesco Conti, Lukas Cavigelli, Gianna Paulin, Igor Susmelj, Luca Benini:
Chipmunk: A systolically scalable 0.9 mm2, 3.08Gop/s/mW @ 1.2 mW accelerator for near-sensor recurrent neural network inference. CICC 2018: 1-4 - [c17]Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini:
XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks. COOL CHIPS 2018: 1-3 - [c16]Michael Hersche, Tino Rellstab, Pasquale Davide Schiavone, Lukas Cavigelli, Luca Benini, Abbas Rahimi:
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features. EUSIPCO 2018: 1690-1694 - [c15]Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini:
Rat Cortical Layers Classification extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor. HealthCom 2018: 1-6 - [c14]Manuel Eggimann, Christelle Gloor, Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, Aljosa Smolic, Luca Benini:
Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS. ISCAS 2018: 1-5 - [c13]Manuele Rusci, Lukas Cavigelli, Luca Benini:
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? ISCAS 2018: 1-5 - [c12]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes. ISVLSI 2018: 509-515 - [i15]Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini:
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks. CoRR abs/1803.05849 (2018) - [i14]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes. CoRR abs/1804.00623 (2018) - [i13]Lukas Cavigelli, Luca Benini:
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams. CoRR abs/1808.05488 (2018) - [i12]Lukas Cavigelli, Luca Benini:
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators. CoRR abs/1810.03979 (2018) - 2017
- [j2]Lukas Cavigelli, Luca Benini:
Origami: A 803-GOp/s/W Convolutional Network Accelerator. IEEE Trans. Circuits Syst. Video Technol. 27(11): 2461-2475 (2017) - [c11]Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini:
Deep structured features for semantic segmentation. EUSIPCO 2017: 61-65 - [c10]Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, A. Cristiano I. Malossi, Constantine Bekas, Luca Benini:
Impact of temporal subsampling on accuracy and performance in practical video classification. EUSIPCO 2017: 996-1000 - [c9]Lukas Cavigelli, Philippe Degen, Luca Benini:
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data. ICDSC 2017: 1-8 - [c8]Lukas Cavigelli, Pascal Hager, Luca Benini:
CAS-CNN: A deep convolutional neural network for image compression artifact suppression. IJCNN 2017: 752-759 - [c7]Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool:
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations. NIPS 2017: 1141-1151 - [i11]Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool:
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. CoRR abs/1704.00648 (2017) - [i10]Lukas Cavigelli, Philippe Degen, Luca Benini:
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data. CoRR abs/1704.04313 (2017) - [i9]Matthias Meyer, Lukas Cavigelli, Lothar Thiele:
Efficient Convolutional Neural Network For Audio Event Detection. CoRR abs/1709.09888 (2017) - [i8]Manuel Eggimann, Christelle Gloor, Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, Aljosa Smolic, Luca Benini:
Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS. CoRR abs/1711.03538 (2017) - [i7]Francesco Conti, Lukas Cavigelli, Gianna Paulin, Igor Susmelj, Luca Benini:
Chipmunk: A Systolically Scalable 0.9 mm2, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference. CoRR abs/1711.05734 (2017) - [i6]Manuele Rusci, Lukas Cavigelli, Luca Benini:
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? CoRR abs/1712.01743 (2017) - 2016
- [j1]Michele Magno, Davide Brunelli, Lukas Sigrist, Renzo Andri, Lukas Cavigelli, Andres Gomez, Luca Benini:
InfiniTime: Multi-sensor wearable bracelet with human body harvesting. Sustain. Comput. Informatics Syst. 11: 38-49 (2016) - [c6]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights. ISVLSI 2016: 236-241 - [i5]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights. CoRR abs/1606.05487 (2016) - [i4]Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini:
Deep Structured Features for Semantic Segmentation. CoRR abs/1609.07916 (2016) - [i3]Lukas Cavigelli, Dominic Bernath, Michele Magno, Luca Benini:
Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks. CoRR abs/1611.03130 (2016) - [i2]Lukas Cavigelli, Pascal Hager, Luca Benini:
CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression. CoRR abs/1611.07233 (2016) - 2015
- [c5]Lukas Cavigelli, Michele Magno, Luca Benini:
Accelerating real-time embedded scene labeling with convolutional networks. DAC 2015: 108:1-108:6 - [c4]Lukas Cavigelli, David Gschwend, Christoph Mayer, Samuel Willi, Beat Muheim, Luca Benini:
Origami: A Convolutional Network Accelerator. ACM Great Lakes Symposium on VLSI 2015: 199-204 - [c3]Michele Magno, Lukas Cavigelli, Renzo Andri, Luca Benini:
Ultra-Low Power Context Recognition Fusing Sensor Data from an Energy-Neutral Smart Watch. IoT 360 (2) 2015: 331-343 - [i1]Lukas Cavigelli, David Gschwend, Christoph Mayer, Samuel Willi, Beat Muheim, Luca Benini:
Origami: A Convolutional Network Accelerator. CoRR abs/1512.04295 (2015) - 2013
- [c2]Michael Schaffner, Pascal Hager, Lukas Cavigelli, Pierre Greisen, Frank K. Gürkaynak, Hubert Kaeslin:
A real-time 720p feature extraction core based on Semantic Kernels Binarized. VLSI-SoC 2013: 27-32 - [c1]Michael Schaffner, Pascal A. Hager, Lukas Cavigelli, Z. Fang, Pierre Greisen, Frank K. Gürkaynak, Aljoscha Smolic, Hubert Kaeslin, Luca Benini:
A Complete Real-Time Feature Extraction and Matching System Based on Semantic Kernels Binarized. VLSI-SoC (Selected Papers) 2013: 144-167
Coauthor Index
[j17] [c36] [i39] [i38] [i33] [i32] [j14] [j13] [j12] [c33] [c32] [i31] [i30] [i28] [j11] [c30] [c28] [c27] [i27] [i26] [j10] [j9] [c26] [c25] [c24] [c23] [i24] [i23] [i22] [i21] [i20] [j8] [j7] [j6] [c22] [c21] [c20] [i19] [i18] [i17] [i16] [j5] [j4] [j3] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i15] [i14] [i13] [i12] [j2] [c11] [c10] [c9] [c8] [c7] [i11] [i10] [i8] [i7] [i6] [j1] [c6] [i5] [i4] [i3] [i2] [c5] [c4] [c3] [i1] [c1]
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