Zachary Susskind

According to our database, Zachary Susskind authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Differentiable Weightless Neural Networks.

Alan T. L. Bacellar, Zachary Susskind, Mauricio Breternitz Jr., Eugene John, Lizy K. John, Priscila M. V. Lima, Felipe M. G. França

CoRR, 2024

LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA.

Shashank Nag, Zachary Susskind, Aman Arora, Alan T. L. Bacellar, Diego L. C. Dutra, Igor D. S. Miranda, Krishnan Kailas, Eugene B. John, Maurício Breternitz, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Soon Filter: Advancing Tiny Neural Architectures for High Throughput Edge Inference.

Alan T. L. Bacellar, Zachary Susskind, Maurício Breternitz, Lizy K. John, Felipe M. G. França, Priscila M. V. Lima

Proceedings of the International Joint Conference on Neural Networks, 2024

Differentiable Weightless Neural Networks.

Alan Tendler Leibel Bacellar, Zachary Susskind, Maurício Breternitz Jr., Eugene John, Lizy Kurian John, Priscila Machado Vieira Lima, Felipe M. G. França

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks.

Zachary Susskind, Aman Arora, Igor D. S. Miranda, Alan T. L. Bacellar, Luis A. Q. Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego L. C. Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John

ACM Trans. Archit. Code Optim., December, 2023

A conditional branch predictor based on weightless neural networks.

Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Araújo, Priscila M. V. Lima, Maurício Breternitz, Lizy K. John, Felipe M. G. França, Diego Leonel Cadette Dutra

Neurocomputing, October, 2023

Adding Explicit Load-Acquire and Store-Release Instructions to the RISC-V ISA.

Bryce Adern, Zachary Susskind, Brendan Sweeney

CoRR, 2023

Dendrite-inspired Computing to Improve Resilience of Neural Networks to Faults in Emerging Memory Technologies.

Lizy K. John, Felipe M. G. França, Subhasish Mitra, Zachary Susskind, Priscila M. V. Lima, Igor D. S. Miranda, Eugene B. John, Diego L. C. Dutra, Maurício Breternitz

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection.

Zachary Susskind, Aman Arora, Alan T. L. Bacellar, Diego Leonel Cadette Dutra, Igor D. S. Miranda, Maurício Breternitz, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

COIN: Combinational Intelligent Networks.

Igor D. S. Miranda, Aman Arora, Zachary Susskind, Josias S. A. Souza, Mugdha P. Jadhao, Luis A. Q. Villon, Diego L. C. Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John

Proceedings of the 34th IEEE International Conference on Application-specific Systems, 2023

2022

A WiSARD-based conditional branch predictor.

Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Araújo, Priscila M. V. Lima, Maurício Breternitz Jr., Lizy K. John, Felipe M. G. França, Diego Leonel Cadette Dutra

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Pruning Weightless Neural Networks.

Zachary Susskind, Alan T. L. Bacellar, Aman Arora, Luis A. Q. Villon, Renan Mendanha, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Igor D. S. Miranda, Maurício Breternitz Jr., Lizy K. John

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks.

Alan T. L. Bacellar, Zachary Susskind, Luis A. Q. Villon, Igor D. S. Miranda, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Maurício Breternitz Jr., Lizy K. John, Priscila M. V. Lima, Felipe M. G. França

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Characterization of Emerging AI Workloads: Neural Logic Machines and Graph Convolutional Networks.

Cory Davis, Patrick M. Stockton, Eugene B. John, Zachary Susskind, Lizy K. John

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks.

Igor D. S. Miranda, Aman Arora, Zachary Susskind, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Diego Leonel Cadette Dutra, Leandro Santiago de Araújo, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John, Maurício Breternitz

Proceedings of the 33rd IEEE International Conference on Application-specific Systems, 2022

Weightless Neural Networks for Efficient Edge Inference.

Zachary Susskind, Aman Arora, Igor D. S. Miranda, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization.

Zachary Susskind, Bryce Arden, Lizy K. John, Patrick M. Stockton, Eugene B. John

CoRR, 2021

2020

SimTrace: Capturing over Time Program Phase Behavior.

Steven Flolid, Emily Shriver, Zachary Susskind, Benjamin Thorell, Lizy K. John

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020