Onyx: A 12-nm Programmable Accelerator for Dense and Sparse Applications

@article{koul2026onyx,
  author    = {Koul, Kalhan and Hsu, Olivia and Mei, Yuchen and Ravipati, Sai Gautham and Strange, Maxwell and Melchert, Jackson and Carsello, Alex and Kong, Taeyoung and Chen, Po-Han and Ke, Huifeng and Zhang, Keyi and Liu, Qiaoyi and Nyengele, Gedeon and Xie, Zhouhua and Balasingam, Akhilesh and Adivarahan, Jayashree and Sharma, Ritvik and Torng, Christopher and Emer, Joel S. and Kjolstad, Fredrik and Horowitz, Mark and Raina, Priyanka},
  title     = {{Onyx}: A 12-nm Programmable Accelerator for Dense and Sparse Applications},
  journal   = {IEEE Journal of Solid-State Circuits},
  year      = {2026},
  month     = may,
  volume    = {61},
  number    = {5},
  pages     = {2336--2348},
  publisher = {IEEE},
  doi       = {10.1109/JSSC.2025.3604724},
  url       = {https://doi.org/10.1109/JSSC.2025.3604724},
  keywords  = {Coarse-grained reconfigurable array (CGRA), compilers, computer vision, image processing, machine learning (ML), reconfigurable accelerators, sparse matrices}
}

Kalhan Koul, Olivia Hsu, Yuchen Mei, Sai Gautham Ravipati, Maxwell Strange, Jackson Melchert, Alex Carsello, Taeyoung Kong, Po-Han Chen, Huifeng Ke, Keyi Zhang, Qiaoyi Liu, Gedeon Nyengele, Zhouhua Xie, Akhilesh Balasingam, Jayashree Adivarahan, Ritvik Sharma, Christopher Torng, Joel S. Emer, Fredrik Kjolstad, Mark Horowitz, and Priyanka Raina. Onyx: A 12-nm Programmable Accelerator for Dense and Sparse Applications. IEEE JSSC, 2026.