5 papers
CHIPSIM: A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems
Lukas Pfromm, Alish Kanani, Harsh Sharma +3
Due to reduced manufacturing yields, traditional monolithic chips cannot keep up with the compute, memory, and communication demands of data-intensive applications, such as rapidly…
THERMOS: Thermally-Aware Multi-Objective Scheduling of AI Workloads on Heterogeneous Multi-Chiplet PIM Architectures
Alish Kanani, Lukas Pfromm, Harsh Sharma +3
Chiplet-based integration enables large-scale systems that combine diverse technologies, enabling higher yield, lower costs, and scalability, making them well-suited to AI workload…
Designing High-Performance and Thermally Feasible Multi-Chiplet Architectures enabled by Non-bendable Glass Interposer
Harsh Sharma, Janardhan Rao Doppa, Umit Y. Ogras +1
Multi-chiplet architectures enabled by glass interposer offer superior electrical performance, enable higher bus widths due to reduced crosstalk, and have lower capacitance in the…
MFIT: Multi-Fidelity Thermal Modeling for 2.5D and 3D Multi-Chiplet Architectures
Lukas Pfromm, Alish Kanani, Harsh Sharma +6
Rapidly evolving artificial intelligence and machine learning applications require ever-increasing computational capabilities, while monolithic 2D design technologies approach thei…
A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models
Harsh Sharma, Pratyush Dhingra, Janardhan Rao Doppa +2
Transformers have revolutionized deep learning and generative modeling, enabling advancements in natural language processing tasks. However, the size of transformer models is incre…