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Edge Computing Proves Critical for Drilling Rigs, Pipeline Integrity

This is the third entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how edge computing is playing a role in operating drilling rigs, ensuring pipeline integrity and more. 

Why Demand for In-Memory Computing Platforms Keeps Growing

The demand for in-memory computing (IMC) and new IMC platforms continues to grow. What’s pushing this growth as new products like the GridGain in-memory computing platform hit the market? Download the new white paper from GridGain that explores this topic and covers what’s next for in-memory computing.

Agenda Posted for ExaComm 2018 Workshop in Frankfurt

The ExaComm 2018 workshop has posted their Speaker Agenda. Held in conjunction with ISC 2018, the Fourth International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale takes place June 28 in Frankfurt. ” The goal of this workshop is to bring together researchers and software/hardware designers from academia, industry and national laboratories who are involved in creating network-based computing solutions for extreme scale architectures. The objectives of this workshop will be to share the experiences of the members of this community and to learn the opportunities and challenges in the design trends for exascale communication architectures.”

Why IMC Is Right for Today’s Fast-Data and Big-Data Applications

In-memory computing, or IMC, is being used for a variety of functions, including fintech and ecommerce to telecommunications and IoT, as it becomes well known for success with processing and analyzing big data.  Download the new report from GridGain, “Choosing the Right In-Memory Computing Solution,” to find out whether IMC is the right choice for your business. 

ScyllaDB Announces Support for IBM Power Systems for Real Time Big Data

Today real-time database company ScyllaDB announced a new Scylla Enterprise release with optimizations for IBM Power System Servers with the IBM POWER9 multi-core architecture. By combining Scylla’s highly performant, close-to-the-hardware design with next-generation IBM Power System Servers, organizations can reach new levels of performance while also reducing the footprint, cost and complexity of their systems. “ScyllaDB has designed a powerful distributed database that extends the performance advantages we’ve introduced with our multi-core POWER9 processors,” said Tim Vincent, IBM Fellow and Vice President of IBM Cognitive Systems. “The combination of the Scylla NoSQL database and our Power System Servers enables our shared customers to scale up their systems rather than continually scaling out, creating new opportunities for data center consolidation and price performance.”

In-Memory Computing: Addressing Emerging Data-Intensive Use Cases

This white paper from GridGain examines the factors contributing to increased demand, the innovative directions in which the industry is heading over the next decade, and how the Apache Ignite and the GridGain in-memory computing platforms are leading the way toward the in-memory computing systems of tomorrow. Download the new report from GridGain to get a handle on what’s in store for the in-memory computing market. 

GridGain In-Memory Computing Platform Delivers Speed and Scalability

The GridGain In-Memory computing platform works to deliver speed and scalability for your large data needs. The platform is built on the Apache Ignite open source project. Download the new white paper today, “Introducing the GridGain In-Memory Computing Platform,” to find out if GridGain is the right choice for you. 

Choosing the Right In-Memory Computing Solution

This white paper reviews why in-memory computing makes sense for today’s fast-data and big-data applications. It dispels common myths about IMC and clarifies the distinctions among IMC product categories to make the process of choosing the right IMC solution for a specific use case much easier. Download the new white paper from GridGain that offers a guide to in-memory computing, and find out in-memory computing is right for your business. 

Introducing the GridGain In-Memory Computing Platform

In-memory computing is characterized by using high-performance, integrated and distributed memory systems to compute and transact on large data sets in real-time. A new white paper explores the key features of the GridGain Systems in-memory computing platform, which offers a strategic approach to in-memory computing. Download the report to learn more about this innovative platform.   

Call for Papers: LDAV 2018 – Large Data Analysis and Visualization

The LDAV 2018 conference on Large Data Analysis and Visualization has issued its Call for Papers. Held in conjunction with IEEE VIS 2018, the event takes place October 21 in Berlin. “The 8th IEEE Large Scale Data Analysis and Visualization (LDAV) symposium is specifically targeting methodological innovation, algorithmic foundations, and possible end-to-end solutions. The LDAV symposium will bring together domain experts, data analysts, visualization researchers, and users to foster common ground for solving both near- and long-term problems. We are looking for both original research contributions and position papers on a broad-range of topics related to collection, analysis, manipulation, and visualization of large-scale data. We are particularly interested in innovative approaches that combine information visualization, visual analytics, and scientific visualization.”