A survey on graphic processing unit computing for large‐scale data mining
A Cano - Wiley Interdisciplinary Reviews: Data Mining and …, 2018 - Wiley Online Library
General purpose computation using Graphic Processing Units (GPUs) is a well‐established
research area focusing on high‐performance computing solutions for massively …
research area focusing on high‐performance computing solutions for massively …
Real-time scheduling based on optimized topology and communication traffic in distributed real-time computation platform of storm
C Li, J Zhang, Y Luo - Journal of Network and Computer Applications, 2017 - Elsevier
In recent years, Storm, an open source distributed real-time computation system, has gained
significant amount of popularity in cloud computing industry due to its high reliability and …
significant amount of popularity in cloud computing industry due to its high reliability and …
GFlink: An in-memory computing architecture on heterogeneous CPU-GPU clusters for big data
The increasing main memory capacity and the explosion of big data have fueled the
development of in-memory big data management and processing. By offering an efficient in …
development of in-memory big data management and processing. By offering an efficient in …
GPL: A GPU-based pipelined query processing engine
Graphics Processing Units (GPUs) have evolved as a powerful query co-processor for main
memory On-Line Analytical Processing (OLAP) databases. However, existing GPU-based …
memory On-Line Analytical Processing (OLAP) databases. However, existing GPU-based …
Performance modeling and predictive scheduling for distributed stream data processing
In a distributed stream data processing system, an application is usually modeled using a
directed graph, in which each vertex corresponds to a data source or a processing unit, and …
directed graph, in which each vertex corresponds to a data source or a processing unit, and …
{FineStream}:{Fine-Grained}{Window-Based} stream processing on {CPU-GPU} integrated architectures
Accelerating SQL queries on stream processing by utilizing heterogeneous coprocessors,
such as GPUs, has shown to be an effective approach. Most works show that heterogeneous …
such as GPUs, has shown to be an effective approach. Most works show that heterogeneous …
Deep reinforcement learning for joint datacenter and HVAC load control in distributed mixed-use buildings
The majority of today's power-hungry datacenters are physically co-located with office rooms
in mixed-use buildings (MUBs). The heating, ventilation, and air conditioning (HVAC) system …
in mixed-use buildings (MUBs). The heating, ventilation, and air conditioning (HVAC) system …
Enabling transparent acceleration of big data frameworks using heterogeneous hardware
The ever-increasing demand for high performance Big Data analytics and data processing,
has paved the way for heterogeneous hardware accelerators, such as Graphics Processing …
has paved the way for heterogeneous hardware accelerators, such as Graphics Processing …
Fine-grained multi-query stream processing on integrated architectures
Exploring the sharing opportunities among multiple stream queries is crucial for high-
performance stream processing. Modern stream processing necessitates accelerating …
performance stream processing. Modern stream processing necessitates accelerating …
Rethinking elastic online scheduling of big data streaming applications over high-velocity continuous data streams
Online scheduling plays a key role for big data streaming applications in a big data stream
computing environment, as the arrival rate of high-velocity continuous data stream might …
computing environment, as the arrival rate of high-velocity continuous data stream might …