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Data management on new processors


Data management on new processors: A survey - ScienceDirect

The data are fetched into the memory and passed to the FPGA core for projection and selection. The storage device stores the relational tables and the network ...

Data Management on New Hardware (DaMoN)

The continued evolution of computing hardware and infrastructure imposes new challenges and bottlenecks to program performance. As a result, traditional ...

Data management on new processors: A survey - ScienceDirect.com

Apparently, adopting hardware as a co-processor for query processing can significantly increase performance, because it can not only filter the data but also ...

How 'fit-for-purpose' CPU accelerators are revolutionizing data ...

How 'fit-for-purpose' CPU accelerators are revolutionizing data processing ... A new generation of CPUs that rival GPUs — combined with advanced ...

International Workshop on Data Management on New Hardware ...

• hardware systems for query processing. • data management using co-processors. • novel application of new storage technologies to data man- agement. • query ...

New AI Processors Architectures Balance Speed With Efficiency

IBM's new Telum processor includes a mix of a data processing unit (DPU) for I/O acceleration — basically, funneling data to where it will ...

International Workshop on Data Management on New Hardware ...

New hardware, such as multi-core CPUs, GPUs, FPGAs, new memory and storage technologies, low-power devices, bring new challenges and ...

AI For Data Management - Semiconductor Engineering

Data management is becoming a significant new challenge for the chip industry, as well as a brand new opportunity, as the amount of data ...

What Is Data Management? - IBM

Data management is the practice of collecting, processing and using data securely and efficiently for better business outcomes.

What is Data Management? A Guide to Systems, Processes, and Tools

Data management is typically the responsibility of a data architect or database administrator, and the goal is ensuring that the organization's ...

DPUs, GPUs, and CPUs in the Data Center - Kalray

GPUs were not designed for dealing with multiple workloads and their data efficiently. DPUs enable a new class of accelerated processing to ...

.conf24: Splunk Unveils Next-Generation Data Management ...

... new Data Management capabilities so organizations can harness true control over their data pipeline. ... Ingest Processor unifies data management ...

Data Processor: Understanding the Role in Data Management

Differences Between Data Controller and Data Processor · Data Controllers: Decides the purpose and methods of processing personal data. · Data Processors: Handles ...

'SOC of the future' needs data management of the future (and today)

... new Ingest Processor and the Edge Processor, among other things. We will publish this soon. So search for Techzine Talks on Tour in your ...

What is Data Management? - Supermicro

The critical importance of effective data management cannot be overstated in an era where data is considered the new oil. Managing data appropriately ...

DaMoN: Data Management on New Hardware 2025 2024 ... - WikiCFP

The continued evolution of computing hardware and infrastructure imposes new challenges and bottlenecks to program performance. As a result, traditional ...

ADMS 2024

In spite of the trends, currently there is limited usage of these technologies in data management domain. Naive exploitation of multi-core processors or SSDs ...

What is data management? | Definition, importance, & processes | SAP

Collecting, processing, and validating data · Integrating different types of data from disparate sources, including structured and unstructured data · Managing ...

Solving Data Management and Security from the Device to the Cloud

Collect, process, manage and distribute sensor data with a high performance database · Secure on-board device data management with a breakthrough platform ...

What Is Data Management? - Oracle

A data management platform is the foundational system for collecting and analyzing large volumes of data across an organization. Commercial data platforms ...