{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T13:24:08Z","timestamp":1778592248429,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T00:00:00Z","timestamp":1624233600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["800999 and 801039"],"award-info":[{"award-number":["800999 and 801039"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,21]]},"DOI":"10.1145\/3468044.3468052","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T10:43:03Z","timestamp":1624272183000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["StreamBrain"],"prefix":"10.1145","author":[{"given":"Artur","family":"Podobas","sequence":"first","affiliation":[{"name":"KTH Royal Institute of Technology, Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Svedin","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology, Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven W. D.","family":"Chien","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology, Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivy B.","family":"Peng","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naresh Balaji","family":"Ravichandran","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology, Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pawel","family":"Herman","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology, Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anders","family":"Lansner","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology, Stockholm, Sweden and Stockholm University, Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Markidis","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology, Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,6,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Bekolay etal 2014. Nengo: a Python Tool for Building Large-scale Functional Brain Models. Frontiers in Neuroinformatics (2014). Bekolay et al. 2014. Nengo: a Python Tool for Building Large-scale Functional Brain Models. Frontiers in Neuroinformatics (2014).","DOI":"10.3389\/fninf.2013.00048"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3320060"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/355074"},{"key":"e_1_3_2_1_4_1","volume-title":"An Analysis of Single-layer Networks in Unsupervised Feature Learning. In AISTATS'11","year":"2011","unstructured":"Coates 2011 . An Analysis of Single-layer Networks in Unsupervised Feature Learning. In AISTATS'11 . Coates et al. 2011. An Analysis of Single-layer Networks in Unsupervised Feature Learning. In AISTATS'11."},{"key":"e_1_3_2_1_5_1","volume-title":"in FPL'12","year":"2012","unstructured":"Czajkowski 2012 . From OpenCL to High-Performance Hardware on FPGAs . In in FPL'12 . Czajkowski et al. 2012. From OpenCL to High-Performance Hardware on FPGAs. In in FPL'12."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Davison etal 2009. PyNN: a Common Interface for Neuronal Network Simulators. Frontiers in Neuroinformatics (2009). Davison et al. 2009. PyNN: a Common Interface for Neuronal Network Simulators. Frontiers in Neuroinformatics (2009).","DOI":"10.3389\/neuro.11.011.2008"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/MDT.2011.44"},{"key":"e_1_3_2_1_8_1","volume-title":"IPDPSW'18","year":"2018","unstructured":"Zohouri 2018 . High-performance High-order Stencil computation on FPGAs using OpenCL . In IPDPSW'18 . Zohouri et al. 2018. High-performance High-order Stencil computation on FPGAs using OpenCL. In IPDPSW'18."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Fiebig etal 2017. A Spiking Working Memory Model based on Hebbian Short-term Potentiation. Journal of Neuroscience (2017). Fiebig et al. 2017. A Spiking Working Memory Model based on Hebbian Short-term Potentiation. Journal of Neuroscience (2017).","DOI":"10.1523\/JNEUROSCI.1989-16.2017"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Fiebig etal 2020. An Indexing Theory for Working Memory based on Fast Hebbian Plasticity. ENeuro (2020). Fiebig et al. 2020. An Indexing Theory for Working Memory based on Fast Hebbian Plasticity. ENeuro (2020).","DOI":"10.1523\/ENEURO.0374-19.2020"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Gewaltig etal 2007. Nest (Neural Simulation Tool). Scholarpedia (2007). Gewaltig et al. 2007. Nest (Neural Simulation Tool). Scholarpedia (2007).","DOI":"10.4249\/scholarpedia.1430"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/3153803"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.14529\/jsfi170206"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.6.1179"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2006.05.029"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Knight etal 2016. Large-scale Simulations of Plastic Neural Networks on Neuromorphic Hardware. Frontiers in Neuroanatomy (2016). Knight et al. 2016. Large-scale Simulations of Plastic Neural Networks on Neuromorphic Hardware. Frontiers in Neuroanatomy (2016).","DOI":"10.3389\/fnana.2016.00037"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"LeCun etal 2015. Deep learning. Nature (2015). LeCun et al. 2015. Deep learning. Nature (2015).","DOI":"10.1038\/nature14539"},{"key":"e_1_3_2_1_19_1","unstructured":"LeCun Yann. 1998. The MNIST Database of Handwritten Digits. http:\/\/yann.lecun.com\/exdb\/mnist\/ (1998). LeCun Yann. 1998. The MNIST Database of Handwritten Digits. http:\/\/yann.lecun.com\/exdb\/mnist\/ (1998)."},{"key":"e_1_3_2_1_21_1","volume-title":"The Columnar Organization of the Neocortex. Brain","author":"Mountcastle Vernon B","year":"1997","unstructured":"Mountcastle , Vernon B . 1997. The Columnar Organization of the Neocortex. Brain ( 1997 ). Mountcastle, Vernon B. 1997. The Columnar Organization of the Neocortex. Brain (1997)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"e_1_3_2_1_23_1","volume-title":"FPT'17","year":"2017","unstructured":"Podobas 2017 . Designing and Cccelerating Spiking Neural Networks using OpenCL for FPGAs . In FPT'17 . Podobas et al. 2017. Designing and Cccelerating Spiking Neural Networks using OpenCL for FPGAs. In FPT'17."},{"key":"e_1_3_2_1_24_1","volume-title":"IPDPSW'18","year":"2018","unstructured":"Podobas 2018 . Hardware Implementation of POSITs and their application in FPGAs . In IPDPSW'18 . Podobas et al. 2018. Hardware Implementation of POSITs and their application in FPGAs. In IPDPSW'18."},{"key":"e_1_3_2_1_25_1","unstructured":"Ravichandran etal 2020. Brain-like Approaches to Unsupervised Learning of Hidden Representations. arXiv preprint arXiv:2005.03476 (2020). Ravichandran et al. 2020. Brain-like Approaches to Unsupervised Learning of Hidden Representations. arXiv preprint arXiv:2005.03476 (2020)."},{"key":"e_1_3_2_1_26_1","volume-title":"Learning Representations in Bayesian Confidence Propagation Neural Networks. IJCNN'20","year":"2020","unstructured":"Ravichandran 2020 . Learning Representations in Bayesian Confidence Propagation Neural Networks. IJCNN'20 (2020). Ravichandran et al. 2020. Learning Representations in Bayesian Confidence Propagation Neural Networks. IJCNN'20 (2020)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Stathis etal 2020. eBrainII: a 3 kW RealTime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex. Journal of Signal Processing Systems (2020). Stathis et al. 2020. eBrainII: a 3 kW RealTime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex. Journal of Signal Processing Systems (2020).","DOI":"10.1007\/s11265-020-01562-x"}],"event":{"name":"HEART '21: International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies","location":"Online Germany","acronym":"HEART '21","sponsor":["German Research Foundation German Research Foundation"]},"container-title":["Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3468044.3468052","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3468044.3468052","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:06Z","timestamp":1750195686000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3468044.3468052"}},"subtitle":["An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs"],"short-title":[],"issued":{"date-parts":[[2021,6,21]]},"references-count":26,"alternative-id":["10.1145\/3468044.3468052","10.1145\/3468044"],"URL":"https:\/\/doi.org\/10.1145\/3468044.3468052","relation":{},"subject":[],"published":{"date-parts":[[2021,6,21]]},"assertion":[{"value":"2021-06-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}