Remote sensing big data computing: Challenges and opportunities
As we have entered an era of high resolution earth observation, the RS data are undergoing
an explosive growth. The proliferation of data also give rise to the increasing complexity of …
an explosive growth. The proliferation of data also give rise to the increasing complexity of …
Power, Energy, and Thermal Considerations in {SSD-Based}{I/O} Acceleration
Solid State Disks (SSDs) have risen to prominence as an I/O accelerator with low power
consumption and high energy efficiency. In this paper, we question some common …
consumption and high energy efficiency. In this paper, we question some common …
Efficient Data Center Architectures Using Non-Volatile Memory and Reliability Techniques
DA Roberts - 2011 - search.proquest.com
The cost of running a data center is increasingly dominated by energy consumption,
contributed by power provisioning, cooling and server components such as processors …
contributed by power provisioning, cooling and server components such as processors …
Resistance switching memory-based accelerator
(57) ABSTRACT A resistance switching memory-based accelerator config ured to be
connected to a host including a CPU and a system memory is provided. A resistance …
connected to a host including a CPU and a system memory is provided. A resistance …
DRAM-less: Hardware acceleration of data processing with new memory
General purpose hardware accelerators have become major data processing resources in
many computing domains. However, the processing capability of hardware accelerations is …
many computing domains. However, the processing capability of hardware accelerations is …
A limits study of benefits from nanostore-based future data-centric system architectures
The adoption of non-volatile memories (NVMs) in system architecture and the growth in data-
centric workloads offer exciting opportunities for new designs. In this paper, we examine the …
centric workloads offer exciting opportunities for new designs. In this paper, we examine the …
Sorting big data on heterogeneous near-data processing systems
Big data workloads assumed recently a relevant importance in many business and scientific
applications. Sorting elements efficiently in big data workloads is a key operation. In this …
applications. Sorting elements efficiently in big data workloads is a key operation. In this …
An architecture for integrated near-data processors
To increase the performance of data-intensive applications, we present an extension to a
CPU architecture that enables arbitrary near-data processing capabilities close to the main …
CPU architecture that enables arbitrary near-data processing capabilities close to the main …
[PDF][PDF] Is storage hierarchy dead? co-located compute-storage nvram-based architectures for data-centric workloads
D Roberts, J Chang, P Ranganathan… - tech. report HPL-2010 …, 2010 - tnm.engin.umich.edu
The increasing gap between the speed of the processor and the time to access the data in
the disk has historically been offset with deeper and larger memory hierarchies with multiple …
the disk has historically been offset with deeper and larger memory hierarchies with multiple …
[PDF][PDF] Subsystem and System-level Implications of PCM
R Haas, XY Hu, I Koltsidas… - Proceedings of the 10th …, 2011 - researchgate.net
Emerging data-centric workloads necessitate systems with highly scalable storage
components, not only in terms of capacity, but also in terms of performance and energy …
components, not only in terms of capacity, but also in terms of performance and energy …