Posts

Yixian Shen, Leo Schreuders, Anuj Pathania and Andy D. Pimentel
Jul 1, 2023

The paper 'Thermal Management for 3D-Stacked Systems via Unified Core-Memory Power Regulation' was accepted for publication at IEEE/ACM CODES+ISSS '23.

Jun Xiao, Yaocheng Xiang, Xiaolin Wang, Yingwei Luo, Andy D. Pimentel, and Zhenlin Wang
Jun 26, 2023

The paper 'FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance' received the Best Paper Award at ACM ICS '23!

Ehsan Aghapour, Dolly Sapra, Andy Pimentel, and Anuj Pathania
May 30, 2023

The paper 'PELSI: Power-Efficient Layer-Switched Inference' was accepted for publication at IEEE RTCSA '23.

Dolly Sapra and Andy D. Pimentel
May 13, 2023

The paper 'Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs' was accepted for publication at SAMOS '23.

Sobhan Niknam, Yixian Shen, Anuj Pathania, and Andy Pimentel
May 4, 2023

The paper '3D-TTP: Efficient Transient Temperature-Aware Power Budgeting for 3D-Stacked Processor-Memory Systems' was accepted for publication at IEEE ISVLSI '23.

Jun Xiao, Yaocheng Xiang, Xiaolin Wang, Yingwei Luo, Andy D. Pimentel, and Zhenlin Wang
May 2, 2023

The paper 'FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance' has been nominated for the Best Paper Award at ACM ICS '23!

Stephen Swatman, Ana Lucia Varbanescu, Andy Pimentel, Andreas Salzburger and Attila Krasznahorkay
Apr 20, 2023

The paper 'Systematically Exploring High-Performance Representations of Vector Fields Through Compile-Time Composition' was nominated for the Best Paper Award at ACM/SPEC ICPE 2023!

Jun Xiao, Yaocheng Xiang, Xiaolin Wang, Yingwei Luo, Andy D. Pimentel, and Zhenlin Wang
Apr 14, 2023

The paper 'FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance' was accepted for publication at ACM ICS '23.

Sobhan Niknam, Anuj Pathania, and Andy D. Pimentel
Apr 5, 2023

The patent 'Power management for multicore processors' has been successfully published under number EP 4 152 124.

Julius Roeder, Andy D. Pimentel, and Clemens Grelck
Mar 28, 2023

The paper 'GCN-based reinforcement learning approach for scheduling DAG applications' was accepted for publication at IFIP AIAI '23.