Publications

Conference Publications

  1. S. Resch, H. Cılasun, M. Zabihi, Z.I. Chowdhury, Z. Zhao, J.-P. Wang, S.S. Sapatnekar, and U. Karpuzcu, "PimCity: A Compute in Memory Substrate featuring both Row and Column Parallel Computing", 8th IEEE International Conference on Rebooting Computing (ICRC), 2023. Link

  2. S. Resch, H. Cılasun, Z.I. Chowdhury, M. Zabihi, Z. Zhao, J.-P. Wang, S.S. Sapatnekar, and U. Karpuzcu, "On Endurance of Processing in (Nonvolatile) Memory", 50th International Symposium on Computer Architecture (ISCA), 2023. (Acceptance rate: 21.2%) Link

  3. H. Cılasun, C. Macaraeg, I. Peng, A. Sarkar, M. Gokhale, "FPGA-accelerated simulation of variable latency memory systems", International Symposium on Memory Systems (MEMSYS), 2022. Link

  4. H. Cılasun. S. Resch, Z.I. Chowdhury, M. Zabihi, Z. Zhao, T. Peterson, J.-P. Wang, S.S. Sapatnekar, and U. Karpuzcu, “Seeds of SEED: H-CRAM: In-memory Homomorphic Search Accelerator using Spintronic Computational RAM”, IEEE International Symposium on Secure and Private Execution Environment Design (SEED), 2021. Link

  5. Z. Chowdhury, S. Resch, H. Cılasun, Z. Zhao, M. Zabihi, J.-P. Wang, S.S. Sapatnekar, and U. Karpuzcu, “CAMeleon: Reconfigurable B(T)CAM in Computational RAM”, 31st Great Lakes Symposium on VLSI (GLSVLSI), 2021. Link

  6. H. Cılasun, I. Peng, M. Gokhale, “Resource-Efficient FPGA Pseudorandom Number Generation”, 32nd International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020. Link (Research Poster)

  7. S. Resch, K. Khatamifard, Z. Chowdhury, M. Zabihi, Z. Zhao, H. Cılasun, J.-P. Wang, S.S. Sapatnekar, and U. Karpuzcu, “MOUSE: Inference In Non-volatile Memory for Energy Harvesting Applications”, 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020.  Link (Acceptance rate: 19.3%)

  8. H. Cılasun, S. Resch, Z.I. Chowdhury, E. Olson, M. Zabihi, Z. Zhao, T. Peterson, J.-P. Wang, S.S. Sapatnekar, and U. Karpuzcu, “CRAFFT: High Resolution FFT Accelerator In Spintronic Computational RAM”, 57th Design Automation Conference (DAC), San Fransisco, 2020.  Link (Acceptance rate: 23.1%)

  9. M. H. Cılasun and F. Kamışlı, "Coding Gain Optimized 8-Point DST with Fast Algorithm for Intra-frames in Video Coding," 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pp. 156-160. Link

  10. M. H. Cılasun and F. Kamışlı, "Fast DST optimizations for intra-frame coding," 26th Signal Processing and Communications Applications Conference (SIU), Izmir, 2018, pp. 1-4. Link

  11. İ. Ercan, Ö. Susam, M. Altun and M. H. Cılasun, "Synthesis and fundamental energy analysis of fault-tolerant CMOS circuits," 14th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), Giardini Naxos, 2017, pp. 1-4. Link

  12. H. Yalçın and M. H. Cılasun, "Deep learning based autonomous direction estimation," 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, 2016, pp. 1645-1648. Link

  13. M. H. Cılasun and H. Yalçın, "A deep learning approach to EEG based epilepsy seizure determination," 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, 2016, pp. 1573-1576. Link

Journal Publications

  1. B. Zink, Y. Lv, M. Zabihi, H. Cılasun, S.S. Sapatnekar, U. Karpuzcu,  M. Riedel, and J.-P. Wang, "A Stochastic Computing Scheme of Embedding Random Bit Generation and Processing in Computational Random Access Memory (SC-CRAM)", IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (JXCDC), 2023. Link

  2. S. Resch, S. Khatamifard, Z. Chowdhury, M. Zabihi, Z. Zhao, H. Cılasun, J.-P. Wang, S.S. Sapatnekar, and U. Karpuzcu, "Energy Efficient and Reliable Inference in Nonvolatile Memory under Extreme Operating Conditions", ACM Transactions on Embedded Computing Systems (TECS), 2022. Link

  3. Z. Chowdhury, S. Khatamifard, S. Resch, H. Cılasun, Z. Zhao, M. Zabihi, M. Razaviyayn, J.-P. Wang, S.S. Sapatnekar, and U. Karpuzcu, "CRAM-Seq: Accelerating RNA-Seq Abundance Quantification using Computational RAM", IEEE Transactions on Emerging Topics in Computing (TETC), 2022. Link

  4. H. Cılasun, S. Resch, Z.I. Chowdhury, E. Olson, M. Zabihi, Z. Zhao, T. Peterson, K. Parhi, J.-P. Wang, S.S. Sapatnekar, and U. Karpuzcu, "Spiking Neural Networks in Spintronic Computational RAM," ACM Transactions on Architecture and Code Optimization (TACO), 2021. Link

  5. M. Zabihi, S. Resch, H. Cılasun,  Z.I. Chowdhury, Z. Zhao, U. Karpuzcu, J.-P. Wang, and S.S. Sapatnekar, "Exploring the Feasibility of Using 3D XPoint as an In-Memory Computing Accelerator", IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (JXCDC), 2021. Link

  6. S. Resch, H. Cılasun, and U. Karpuzcu, “Cryogenic PIM: Challenges & Opportunities”, IEEE Computer Architecture Letters (CAL), 2021. Link

  7. M. Altun, S. Parvin and M. H. Cılasun, "Exploiting Reversible Computing for Latent-Fault-Free Error Detecting/Correcting CMOS Circuits", IEEE Access, vol. 6, pp. 74475-74484, 2018. Link

  8. M. H. Cılasun, and M. Altun. "A Novel Reversible Fault Tolerant Microprocessor Design in ams 0.35 um Process." Istanbul University-Journal of Electrical & Electronics Engineering, 17.1, 2017. Link

  9. M. H. Cılasun. "Generalized Multiple Counting Jacobsthal Sequences of Fermat Pseudoprimes." Journal of Integer Sequences 19.2 (2016): 3. Link