Divide and conquer: Scalable performance and energy in MCM GPUs By Mario Ibáñez Bolado, Universidad de Cantabria October 5, 2026
A Composable AI-Accelerated Iterative Solver for 3D-IC Thermal Modeling By Yixing Li, Cadence Design Systems October 5, 2026
QBX: A Compiler for 2-local Qubit Hamiltonian Simulation on Quantum Chiplets By Zikun Li, Carnegie Mellon University September 29, 2026
U-Can-Inject-Errors (UCIe): A Protocol-Aware Hardware Trojan for FPGA Chiplet Links By Harshvadan Mihir, North Carolina State University September 28, 2026
The Power of Indirection: Scaling Switches Beyond Silicon Boundaries By Lukas Röllin, ETH Zürich September 28, 2026
Toward Multi-kW Power Delivery Methodologies for Advanced 3D Heterogeneous Integration By Peiyi Yue, University of Minnesota September 22, 2026
Cu-Cu Hybrid Bonding for Chiplets Heterogeneous Integration By John H Lau, Unimicron Technology September 21, 2026
Location-Aware Caching Mechanism for minimizing performance degradation induced by inefficient inter-chiplet data path By Jingyang Zheng, Fudan University September 17, 2026
Predicting Cure Evolution and Thermal Endurance of a Highly Filled Epoxy Underfill for Advanced Packaging By Ryan Giang, University of California San Diego September 15, 2026
A Unified Interconnection Network for Chiplet-Based Scaling of the BrainScaleS Neuromorphic System By Robin Heinemann, Heidelberg University September 15, 2026
Fengshui: Demystifying Chiplet Ecosystem and Bespoke Neural Network Accelerator Codesign By Haoran Jin, University of Michigan September 11, 2026
Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators By Sudeep Pasricha, Colorado State University September 9, 2026
Mapping Dynamic, Hierarchical Quantum Circuits By Marouane Benbetka, New York University September 9, 2026
Chiplet-Based Techniques for Scalable and Memory-Aware Multiscalar Multiplication on Hardware Platforms By Florian Hirner, Graz University of Technology September 7, 2026
A Time-Encoded Analog Photonic Interposer for Energy-Efficient Integration of Analog Vision Sensors and Analog Accelerators By Subhradip Chakraborty, University of Wisconsin–Madison September 7, 2026
Self-Activated Direct Bonding with a Highly Polar Atomic-Layer-Deposited Film for 3D Integration By Hayato Kitagawa, Yokohama National University September 4, 2026
FLINT: Efficiently Leveraging High Bandwidth Flash for Capacity-Scalable LLM Inference Acceleration By Geraldo F. Oliveira, Huawei Technologies Switzerland AG September 2, 2026
Beacon: LLM Multi-Agent Driven Hardware Design Space Exploration for Heterogeneous Multi-Chiplet Deep Learning Accelerators By Boyu Li, University of Science and Technology of China September 1, 2026
CHIPSMORE: Compute-in-Interconnect and -Memory Chiplets for Multi-Mode Multi-Request LLM Inference Acceleration By Yue Jiet Chong, National University of Singapore September 1, 2026
ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI By Chetan Choppali Sudarshan, Arizona State University August 31, 2026