The Race for Sustainability in the HiPEAC Vision 2024
Architecture and Hardware
More Efficient Fault-Tolerant Quantum Computing
Building Computing Systems for Embodied Artificial Intelligence
Combining Machine Learning and Lifetime-Based Resource Management for Memory Allocation and Beyond
We introduce a two-step approach to attain high memory utilization in huge pages, which gives rise to a new methodology for applying Machine Learning in computer systems.
Technical Perspective: Learning-Based Memory Allocation for C++ Server Workloads
"Learning and Lifetime-Based Resource Management for Memory Allocation and Beyond," by Martin Maas et al., explores the potential of using imperfect information in the design of memory managers.
Ensuring Business Continuity with Backup Cloud Storage Choices
Device Onboarding Using FDO and the Untrusted Installer Model
The Internet of Batteryless Things
Sensibles of Software Engineering, 1 and 2
SWOT Analysis of ChatGPT in Computer Science Education
The Role of Autonomous Machine Computing in Shaping the Autonomy Economy
Why Are the Critical Value and Emergent Behavior of Large Language Models (LLMs) Fake?
On Specifying for Trustworthiness
Achievement in Microarchitecture
Wearable Data Predicted COVID Infections
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