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Sparking Academic and Research Potential with Arm

Sparking the Potential of the Future Arm Ecosystem

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TornadoVM: Transparent Hardware Acceleration of Managed Languages - Athanasios Stratikopoulos

Thermal and Energy Efficiency of Heterogeneous Mobile SoCs - Amit Kumar Singh

Arm’s Assembly Burst Data Transfer in Brain Machine Interface Applications - Gregory Kalogiannis

Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices - Jeremie S Kim

Tsetlin Machine: A Learning Automata based AI Hardware for IoT - Adrian Wheeldon

Understanding Datacenter Call Graphs with Graph Theory and Semantic Learning - Benjamin Lee

FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm - Kaushik Manchella

Testing Concurrency in Compilers with Téléchat - Luke Geeson

Lightweight Reliability Enhancement Scheme for MLC STT-RAM based CNN Accelerators - Masoomeh Jasemi

HW/SW Solutions for Concurrent Collaboration with CPU and In-Memory Processors - Benjamin Cho

Low-precision Quantization of Neural Network Without Using Straight-Through Estimator - Zhi-Gang Liu

Printed Thin Film Energy for Flexible IoT - Pritesh Hiralal

Enforcing Temporal Safety on CHERI and Morello - Nathanial Filardo

A Vector-Length Agnostic Compiler for the Memory Limited Connex-S Accelerator - Alex Susu

CroPillar - Saikiran Jayanti

A Systematic Methodology for Characterizing Scalability of DNN Accelerators - Ananda Samajdar

Mitigating Harmful Prefetches with Reinforcement Learning - Majid Jalili

Hardware and Compiler Support for Programmable Non-Volatile Memory - Apostolos Kokolis

Instruction Pointer Classifier-Based Spatial Hardware Prefetching - Biswabandan Panda, IIT Kanpur

Giving Hackers a Headache with Exploit Mitigations - Maria Markstedter, Azeria Labs

Arm Research Enablement - Richard Buttrey, Arm