"A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks", Muhammad Ihsan Al Hafiz1, Naresh Ravichandran, Anders Lansner, Pawel Herman, and Artur Podobas, Springer ARC, 2025
"Algorithms for Fast Spiking Neural Network Simulation on FPGAs", BA Lindqvist and A Podobas, IEEE Access 2024
"Accelerating Scientific Application through Transparent I/O Interposition", Chien, Sato, Podobas et al., 2024 (preprint)
"At the locus of performance: Quantifying the effects of copious 3D-stacked cache on HPC workloads", multiple authors, ACM TACO 20, 2023
"VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing Urgent decision making meets HPC: Experiences and future challenges", Flatken, Podobas, Fellegara et al., 2023
"Evaluation of reduced routing resources for HPC-Oriented CGRAs", Adhi, Cortes, Tan, Kojima, Podobas, and Sano, 電子情報通信学会技術研究報告, 2023
"The cost of flexibility: Embedded versus discrete routers in CGRAs for HPC", Adhi, Cortes, Tan, Kojima, Podobas, and Sano, CLUSTER'23, 2022
"Reducing communication in the conjugate gradient method: a case study on high-order finite elements", Karp, Jansson, Podobas, et al., PASC'22, 20223
"Exploration framework for synthesizable CGRAs targeting HPC: initial design and evaluation", Adhi, Cortes, Tan, Kojima, Podobas, and Sano, IPDPS'22, 2023
"A high-fidelity flow solver for unstructured meshes on field-programmable gate arrays: Design, evaluation, and future challenges", Karp, Podobas et al., HPC Asia'22, 2022
"Exploring inter-tile connectivity for hpc-oriented cgra with lower resource usage", Adhi, Cortes, Tan, Kojima, Podobas, and Sano, FPT'22, 2022
"A review on parallel virtual screening softwares for high-performance computers", Murugan, Podobas et al., Pharmaceuticals 15 , 2022
"Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain", Svedin, Podobas, Chien, and Markidis, CLUSTER'21, 2024
"Benchmarking the nvidia gpu lineage: From early k80 to modern a100 with asynchronous memory transfers", Svedin, Chien, Chikafa, Jansson, and Podobas, HEART'21, 2021
"Streambrain: an hpc framework for brain-like neural networks on cpus, gpus and fpgas", Podobas et al., HEART'21, 2021
"Matrix engines for high performance computing: A paragon of performance or grasping at straws?", many authors, IPDPS'21, 2021
"High-performance spectral element methods on field-programmable gate arrays: implementation, evaluation, and future projection", Karp, Podobas, et al., IPDPS'21, 2021
"Extending High-Level Synthesis with High-Performance Computing Performance Visualization", Huthmann, Podobas, et al., CLUSTER'20, 2020
"A survey on coarse-grained reconfigurable architectures from a performance perspective", Podobas, Sano, and Matsuoka, IEEE Access, 2020
"A template-based framework for exploring coarse-grained reconfigurable architectures", Podobas, Sano, and Matsuoka, ASAP'20, 2020
"OpenMP device offloading to FPGAs using the Nymble infrastructure", Huthmann, Sommer, Podobas et al., IWOMP'20, 2020
"Scaling performance for N-Body stream computation with a ring of FPGAs", Huthmann, Shin, Podobas, et al., HEART'19, 2019
"Double-precision fpus in high-performance computing: an embarrassment of riches?", multiple authors, IPDPS'19, 2019
"Learning neural representations for predicting GPU performance", Salaria, Drozd, Podobas, and Matsuoka, ISC'19, 2019
"Predicting performance using collaborative filtering", Salaria, Drozd, Podobas, and Matsuoka, CLUSTER'19, 2019
"High-performance high-order stencil computation on fpgas using opencl", Zohouri, Podobas, and Matsuoka, IPDPSW'18, 2018
"Hardware implementation of POSITs and their application in FPGAs", Podobas and Matsuoka, IPDPSW'18, 2018
"Combined spatial and temporal blocking for high-performance stencil computation on FPGAs using OpenCL", Zohouri, Podobas, and Matsuoka, FPGA'18, 2018
"MACC: An OpenACC transpiler for automatic multi-GPU use", Matsumura, Sato, Boku, Podobas, and Matsuoka, SCAsia'18, 2018
"Designing and accelerating spiking neural networks using OpenCL for FPGAs", Podobas and Matsuoka, FPT'17, 2017
"Evaluating high-level design strategies on FPGAs for high-performance computing", Podobas, Zohouri, Maruyama, and Matsuoka, FPL'17, 2017
"Empowering openmp with automatically generated hardware", Podobas and Brorsson, SAMOS'16, 2016
"Accelerating Parallel Computations with OpenMP-Driven System-on-Chip Generation for FPGAs", Podobas, MCSoC'14, 2014
"TurboBŁYSK: scheduling for improved data-driven task performance with fast dependency resolution", Podobas, Brorsson, and Vlassov, IWOMP'14, 2014 [BEST PAPER]