Energy aware edge computing: A survey
Edge computing is an emerging paradigm for the increasing computing and networking
demands from end devices to smart things. Edge computing allows the computation to be …
demands from end devices to smart things. Edge computing allows the computation to be …
[HTML][HTML] A survey study on virtual machine migration and server consolidation techniques in DVFS-enabled cloud datacenter: taxonomy and challenges
Cloud Computing is a promising paradigm in comparison with traditional information
technology approaches, in which organizations and enterprises adopt elastic cloud services …
technology approaches, in which organizations and enterprises adopt elastic cloud services …
A modern primer on processing in memory
Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …
design choice goes directly against at least three key trends in computing that cause …
Benchmarking a new paradigm: Experimental analysis and characterization of a real processing-in-memory system
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …
fundamentally memory-bound. For such workloads, the data movement between main …
System, method, and computer program product for improving memory systems
MS Smith - US Patent 9,432,298, 2016 - Google Patents
H01L25/18—Assemblies consisting of a plurality of individual semiconductor or other solid
state devices; Multistep manufacturing processes thereof the devices being of types …
state devices; Multistep manufacturing processes thereof the devices being of types …
DAMOV: A new methodology and benchmark suite for evaluating data movement bottlenecks
Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …
ing performance, scalability, and energy efficiency in modern systems. Computer systems …
Evaluating STT-RAM as an energy-efficient main memory alternative
E Kültürsay, M Kandemir… - … Analysis of Systems …, 2013 - ieeexplore.ieee.org
In this paper, we explore the possibility of using STT-RAM technology to completely replace
DRAM in main memory. Our goal is to make STT-RAM performance comparable to DRAM …
DRAM in main memory. Our goal is to make STT-RAM performance comparable to DRAM …
EDEN: Enabling energy-efficient, high-performance deep neural network inference using approximate DRAM
The effectiveness of deep neural networks (DNN) in vision, speech, and language
processing has prompted a tremendous demand for energy-efficient high-performance DNN …
processing has prompted a tremendous demand for energy-efficient high-performance DNN …
Benchmarking a new paradigm: An experimental analysis of a real processing-in-memory architecture
Many modern workloads, such as neural networks, databases, and graph processing, are
fundamentally memory-bound. For such workloads, the data movement between main …
fundamentally memory-bound. For such workloads, the data movement between main …
Power management of online data-intensive services
D Meisner, CM Sadler, LA Barroso, WD Weber… - Proceedings of the 38th …, 2011 - dl.acm.org
Much of the success of the Internet services model can be attributed to the popularity of a
class of workloads that we call Online Data-Intensive (OLDI) services. These workloads …
class of workloads that we call Online Data-Intensive (OLDI) services. These workloads …