[HTML][HTML] Estimation of energy consumption in machine learning
Energy consumption has been widely studied in the computer architecture field for decades.
While the adoption of energy as a metric in machine learning is emerging, the majority of …
While the adoption of energy as a metric in machine learning is emerging, the majority of …
SIMDRAM: A framework for bit-serial SIMD processing using DRAM
N Hajinazar, GF Oliveira, S Gregorio… - Proceedings of the 26th …, 2021 - dl.acm.org
Processing-using-DRAM has been proposed for a limited set of basic operations (ie, logic
operations, addition). However, in order to enable full adoption of processing-using-DRAM …
operations, addition). However, in order to enable full adoption of processing-using-DRAM …
Ranking programming languages by energy efficiency
This paper compares a large set of programming languages regarding their efficiency,
including from an energetic point-of-view. Indeed, we seek to establish and analyze different …
including from an energetic point-of-view. Indeed, we seek to establish and analyze different …
Energy efficiency across programming languages: how do energy, time, and memory relate?
This paper presents a study of the runtime, memory usage and energy consumption of
twenty seven well-known software languages. We monitor the performance of such …
twenty seven well-known software languages. We monitor the performance of such …
Rapl in action: Experiences in using rapl for power measurements
To improve energy efficiency and comply with the power budgets, it is important to be able to
measure the power consumption of cloud computing servers. Intel's Running Average …
measure the power consumption of cloud computing servers. Intel's Running Average …
Energy‐aware high‐performance computing: survey of state‐of‐the‐art tools, techniques, and environments
The paper presents state of the art of energy‐aware high‐performance computing (HPC), in
particular identification and classification of approaches by system and device types …
particular identification and classification of approaches by system and device types …
Achieving 100gbps intrusion prevention on a single server
Intrusion Detection and Prevention Systems (IDS/IPS) are among the most demanding
stateful network functions. Today's network operators are faced with securing 100Gbps …
stateful network functions. Today's network operators are faced with securing 100Gbps …
Sponge examples: Energy-latency attacks on neural networks
The high energy costs of neural network training and inference led to the use of acceleration
hardware such as GPUs and TPUs. While such devices enable us to train large-scale neural …
hardware such as GPUs and TPUs. While such devices enable us to train large-scale neural …
An experimental comparison of software-based power meters: focus on CPU and GPU
The global energy demand for digital activities is constantly growing. Computing nodes and
cloud services are at the heart of these activities. Understanding their energy consumption is …
cloud services are at the heart of these activities. Understanding their energy consumption is …
A validation of DRAM RAPL power measurements
S Desrochers, C Paradis, VM Weaver - Proceedings of the Second …, 2016 - dl.acm.org
Recent Intel processors support the Running Average Power Level (RAPL) interface, which
among other things provides estimated energy measurements for the CPUs, integrated …
among other things provides estimated energy measurements for the CPUs, integrated …