Recent Journal Papers:
[1] S. Vakili, M. Vaziri, A. Zarei, J.M.P. Langlois, “DyRecMul: Fast and Low-Cost Approximate Multiplier for FPGAs using Dynamic Reconfiguration,” ACM Transactions on Reconfigurable Technology and Systems, 2024.
[2] S. Vakili, A. Zarei, "DSCAM: Latency-Guaranteed and High-Capacity Content-Addressable Memory on FPGAs," IEEE Embedded Systems Letters, 2023.
[3] S. Vakili, M. Vaziri, A. Zarei, J.M.P. Langlois, "Fast and Low-Cost Approximate Multiplier for FPGAs using Dynamic Reconfiguration," arXiv, Oct. 2023.
[4] A. Ahmadi, S. Vakili, J.M.P. Langlois, "CARLA: A Convolution Accelerator With a Reconfigurable and Low-Energy Architecture," IEEE Transactions on Circuits and Systems I: Regular Papers, 68(8): 3184-3196, 2021.
[5] S. Vakili, J.M.P. Langlois, Y, Savaria, Y. Manjikian, "Enhanced Bloom filter utilisation scheme for string matching using a splitting approach," IET Communications, 12(7): 868-875, 2018.
Recent Conference Papers:
[1] M. Vaziri, S. Vakili, J.M.P. Langlois, “A Cost-Effective Baugh-Wooley Approximate Multiplier for FPGA-Based Machine Learning Computing,” Accepted in IEEE International Conference on Computing, Internet of Things and Microwave Systems, 2024.
[2] S. Vakili, “A Cost-Effective Baugh-Wooley Approximate Multiplier for FPGA-Based Machine Learning Computing,” IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2024.
[3] S. Vakili, “DSCAM+: Latency-Guaranteed FPGA-Based Content Addressable Memory for SDN-Enabled Forwarding Plane,” IEEE International Conferences on High-Performance Computing and Communications, Melbourne, Australia, Dec. 2023.
[4] M. Ahmadi, S. Vakili, J.M.P. Langlois, "An Energy-Efficient Accelerator Architecture with Serial Accumulation Dataflow for Deep CNNs," IEEE NEWCAS Conference, 2020, pp. 214-217
[5] M. Ahmadi, S. Vakili, J.M.P. Langlois, "Heterogeneous Distributed SRAM Configuration for Energy-Efficient Deep CNN Accelerators," IEEE NEWCAS Conference, 2020, pp. 287-290