Resources

  • Occamy: A 432-Core Dual-Chiplet Dual-HBM2E 768-DP-GFLOP/s RISC-V System for 8-to-64-bit Dense and Sparse Computing in 12-nm FinFET
  • Invited Paper: CMOS 2.0 - Redefining the Future of Scaling
  • Crossing the Layers and Dotting the Details: Systematic Exploration of Near-Memory Computing, Kodra, Riselda; Medina Morillas, Rafael; Zapater Sancho, Marina; Atienza, David; Ansaloni, Giovanni, ISQED'26 The 27th International Symposium on Quality Electronic Design
  • Keep All in Memory with Maxwell: a Near-SRAM Computing Architecture for Edge AI Applications,Eggermann, Grégoire Axel; Ansaloni, Giovanni; Atienza Alonso, David, International Symposium on Quality Electronic Design (ISQED 2025).
  • Scalable and RISC-V Programmable Near-Memory Computing Architectures for Edge Nodes, Caon, Michele; Choné, Clément Renaud Jean; Schiavone, Pasquale Davide; Levisse, Alexandre Sébastien Julien; Masera Guido; Martina Maurizio; Atienza Alonso, David, IEEE Transactions on Emerging Topics in Computing (TETC)
  • Jueun Jung et al., “An Energy-Efficient Processor for Real-Time Semantic LiDAR SLAM in Mobile Robots”, IEEE JSSC, vol. 60, no. 1, January 2025.