Pouya Houshmand

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Computing Power

Design Space Exploration

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Joren Dumoulin, Pouya Houshmand, Vikram Jain, Marian Verhelst
Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge. ISCAS (2024)
Jiacong Sun, Pouya Houshmand, Marian Verhelst
Analog or Digital In-memory Computing? Benchmarking through Quantitative Modeling. CoRR (2024)
Jiacong Sun, Pouya Houshmand, Marian Verhelst
Analog or Digital In-Memory Computing? Benchmarking Through Quantitative Modeling. ICCAD (2023)
Weijie Jiang, Pouya Houshmand, Marian Verhelst, Wim Dehaene
and 23. 8TOPs/W. ESSCIRC (2023)
Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst
Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators. ISPASS (2023)
Pouya Houshmand, Jiacong Sun, Marian Verhelst
Benchmarking and modeling of analog and digital SRAM in-memory computing architectures. CoRR (2023)
Pouya Houshmand, Giuseppe Maria Sarda, Vikram Jain, Kodai Ueyoshi, Ioannis A. Papistas, Man Shi, Qilin Zheng, Debjyoti Bhattacharjee, Arindam Mallik, Peter Debacker, Diederik Verkest, Marian Verhelst
DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the Edge. IEEE J. Solid State Circuits 58 (1) (2023)
Kodai Ueyoshi, Ioannis A. Papistas, Pouya Houshmand, Giuseppe M. Sarda, Vikram Jain, Man Shi, Qilin Zheng, Juan Sebastian P. Giraldo, Peter Vrancx, Jonas Doevenspeck, Debjyoti Bhattacharjee, Stefan Cosemans, Arindam Mallik, Peter Debacker, Diederik Verkest, Marian Verhelst
DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC. ISSCC (2022)
Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst
Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks. CoRR (2022)
Linyan Mei, Pouya Houshmand, Vikram Jain, Juan Sebastian P. Giraldo, Marian Verhelst
ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators. IEEE Trans. Computers 70 (8) (2021)
Man Shi, Pouya Houshmand, Linyan Mei, Marian Verhelst
Hardware-Efficient Residual Neural Network Execution in Line-Buffer Depth-First Processing. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Linyan Mei, Pouya Houshmand, Vikram Jain, Juan Sebastian P. Giraldo, Marian Verhelst
ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework. CoRR (2020)