“HPE Persistent Memory products deliver the performance of memory with the persistence of traditional storage. The HPE 8GB NVDIMM Module is the first offering in the HPE Persistent Memory product category. Customers are looking for offerings that enable faster business decisions and the HPE Persistent Memory portfolio delivers outstanding performance to put data to work more quickly in your business. The HPE 8GB NVDIMM Module has the resiliency you have come to expect from storage technology by utilizing higher endurance DRAM and components that help verify data is moved to non-volatile technology in the event of a power loss.”
In this video from the HPC User Forum in Tucson, Gary Paek from Intel presents: Intel’s Machine Learning Strategy. “Earlier this week, Intel announced the inception of the Intel Data Analytics Acceleration Library (Intel DAAL) open source project. Intel DAAL helps to speed up big data analysis by providing highly optimized algorithmic building blocks for all stages of data analytics (preprocessing, transformation, analysis, modeling, validation, and decision making) in batch, online, and distributed processing modes of computation.”
In this video from the 2016 GPU Technology Conference, Rich Friedrich from Hewlett Packard Enterprise describes how the company makes it easier for Data Scientists to program GPUs. “In April, HPE announced a public, open-source version of the platform called the Cognitive Computing Toolkit. Instead of relying on the traditional CPUs that power most computers, the Toolkit runs on graphics processing units (GPUs), inexpensive chips designed for video game applications.”
In this special guest feature from Scientific Computing World, ISC’s Nages Sieslack highlights a convergence of technologies around HPC, a focus of the ISC High Performance conference, which takes place June 19-23 in Frankfurt. “In addition to the theme of convergent HPC technologies, this year’s conference will also offer two days of sessions in the industry track, specially designed to meet the interests of commercial users. Our focus is Industrie 4.0, a German strategic initiative conceived to take a leading role in pioneering industrial IT, which is currently revolutionizing engineering in the manufacturing sector.”
In this RCE Podcast, Marcel Kornacker from Cloudera describes the Impala project. Impala brings scalable parallel database technology to Hadoop, enabling users to issue low-latency SQL queries to data stored in HDFS and Apache HBase without requiring data movement or transformation. Impala is integrated with Hadoop to use the same file and data formats, metadata, security and resource management frameworks used by MapReduce, Apache Hive, Apache Pig and other Hadoop software.
The New York Scientific Data Summit (NYSDS) has issued its Call for Papers. The event takes place August 14-17 in New York City.
Today Intel announced the inception of the Intel Data Analytics Acceleration Library (Intel DAAL) open source project. “Intel DAAL helps to speed up big data analysis by providing highly optimized algorithmic building blocks for all stages of data analytics (preprocessing, transformation, analysis, modeling, validation, and decision making) in batch, online, and distributed processing modes of computation. The open source project is licensed under Apache License 2.0.”
Rangan Sukumar from ORNL presented this talk at the HPC User Forum in Tucson. “ORiGAMI is a tool for discovering and evaluating potentially interesting associations and creating novel hypothesis in medicine. ORiGAMI will help you “connect the dots” across 70 million knowledge nuggets published in 23 million papers in the medical literature. The tool works on a ‘Knowledge Graph’ derived from SEMANTIC MEDLINE published by the National Library of Medicine integrated with scalable software that enables term-based, path-based, meta-pattern and analogy-based reasoning principles.”
The NVIDIA DGX-1 features up to 170 teraflops of half precision (FP16) peak performance, 8 Tesla P100 GPU accelerators with 16GB of memory per GPU, 7TB SSD DL Cache, and a NVLink Hybrid Cube Mesh. Packaged with fully integrated hardware and easily deployed software, it is the world’s first system built specifically for deep learning and with NVIDIA’s revolutionary, Pascal-powered Tesla P100 accelerators, interconnected with NVIDIA’s NVLink. NVIDIA designed the DGX-1 to meet the never-ending computing demands of artificial intelligence and claims it can provide the throughput of 250 CPU-based servers delivered via a single box.