Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Houshmand, Pouya"'
Autor:
Houshmand, Pouya, Verhelst, Marian
In-memory computing hardware accelerators allow more than 10x improvements in peak efficiency and performance for matrix-vector multiplications (MVM) compared to conventional digital designs. For this, they have gained great interest for the accelera
Externí odkaz:
http://arxiv.org/abs/2409.11437
In-Memory Computing (IMC) has emerged as a promising paradigm for energy-efficient, throughput-efficient and area-efficient machine learning at the edge. However, the differences in hardware architectures, array dimensions, and fabrication technologi
Externí odkaz:
http://arxiv.org/abs/2405.14978
In-memory-computing is emerging as an efficient hardware paradigm for deep neural network accelerators at the edge, enabling to break the memory wall and exploit massive computational parallelism. Two design models have surged: analog in-memory-compu
Externí odkaz:
http://arxiv.org/abs/2305.18335
Autor:
Symons, Arne, Mei, Linyan, Colleman, Steven, Houshmand, Pouya, Karl, Sebastian, Verhelst, Marian
To keep up with the ever-growing performance demand of neural networks, specialized hardware (HW) accelerators are shifting towards multi-core and chiplet architectures. So far, these multi-accelerator systems exploit the increased parallelism by pip
Externí odkaz:
http://arxiv.org/abs/2212.10612
Autor:
Khosravi, Nargess, Zarabi, Mahdi, Dehghan, Mohammad Mehdi, Farzad-Mohajeri, Saeed, Aminianfar, Hossein, Shafie, Maryam, Shadmehri, Nima, Houshmand, Pouya, Samiei, Nazanin, Moosavi‑Movahedi, Ali Akbar, Habibi‑Rezaei, Mehran
Publikováno v:
In International Journal of Pharmaceutics 5 December 2024 666
Autor:
Shirzad, Hadi, Panji, Mohammad, Nezhad, Seyed Amin Mousavi, Houshmand, Pouya, Tamai, Iradj Ashrafi
Publikováno v:
In Journal of Microbiological Methods February-March 2024 217-218
Building efficient embedded deep learning systems requires a tight co-design between DNN algorithms, memory hierarchy, and dataflow. However, owing to the large degrees of freedom in the design space, finding an optimal solution through the implement
Externí odkaz:
http://arxiv.org/abs/2007.11360
Autor:
Mehrzad, Jalil, Shojaei, Sina, Keivan, Fatemeh, Forouzanpour, Diba, Sepahvand, Helia, Kordi, Alireza, Houshmand, Pouya
Publikováno v:
Journal of Poultry Sciences & Avian Diseases (JPSAD); 2024, Vol. 2 Issue 3, p73-96, 24p
Autor:
Rajaei, Taraneh, Bruieni, Gholamreza Nikbakht, Frootan, Fateme, Mehrzad, Jalil, Houshmand, Pouya
Publikováno v:
Journal of Veterinary Research / Majallah-i Taḥqīqāt-i Dāmpizishkī University; Mar2023, Vol. 78 Issue 1, p51-65, 15p
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