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Accelerated Training on Low-Power Edge Devices Open
Training on edge devices poses several challenges as these devices are generally resource-constrained, especially in terms of power. State-of-the-art techniques at the device level reduce the GPU frequency to enforce power constraints, lea…
Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices Open
Federated fine-tuning offers a promising approach for tuning Large Language Models (LLMs) on edge devices while preserving data privacy. However, fine-tuning these models on edge devices remains challenging due to high memory, communicatio…
Accelerated Training on Low-Power Edge Devices Open
Training on edge devices poses several challenges as these devices are generally resource-constrained, especially in terms of power. State-of-the-art techniques at the device level reduce the GPU frequency to enforce power constraints, lea…
Special Sessions - Hardware-Software Co-Design for Machine Learning Systems Made Open-Source Open
Chip technologies are crucial for the digital transformation of industry and society. Machine Learning (ML) and Artificial Intelligence (AI) are increasingly shaping both daily life and industrial applications, with AI hardware playing a v…
NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores Open
Application migration and dynamic voltage and frequency scaling (DVFS) are indispensable means for fully exploiting the available potential in thermal optimization of a heterogeneous clustered multi-core processor under user-defined qualit…
An FPGA-based Approach to Evaluate Thermal and Resource Management Strategies of Many-core Processors Open
The continuous technology scaling of integrated circuits results in increasingly higher power densities and operating temperatures. Hence, modern many-core processors require sophisticated thermal and resource management strategies to miti…
A Survey of Fault-Tolerance Techniques for Embedded Systems From the Perspective of Power, Energy, and Thermal Issues Open
The relentless technology scaling has provided a significant increase in processor performance, but on the other hand, it has led to adverse impacts on system reliability. In particular, technology scaling increases the processor susceptib…
Hybrid Application Mapping for Composable Many-Core Systems: Overview and Future Perspective Open
Many-core platforms are rapidly expanding in various embedded areas as they provide the scalable computational power required to meet the ever-growing performance demands of embedded applications and systems. However, the huge design space…