February 01, 2013
SAN JOSE, Calif., Feb. 1 – Cavium, Inc., a leading provider of highly integrated semiconductor products that enable intelligent processing for networking, communications and the digital home, today announced the availability of Project Thunder software development platform kit (SDK). Project Thunder is a family of 64-bit ARMv8 processors targeting next generation energy efficient cloud and data center markets.
Project Thunder provides a scalable family of 64-bit ARMv8 processors incorporated into a highly differentiated SoC architecture optimized for cloud and datacenter applications. The family of SoCs will integrate high-performance compute, networking, security, storage along with targeted workload application acceleration and high-speed industry standard IOs. Project Thunder processors will provide significantly better price, performance and power value proposition over alternative solutions for target applications.
The Project Thunder SDK offers a full Linux operating system, toolchain and example applications that will enable ISVs and programmers to start distributed-computing development on the latest 64-bit ARMv8 architecture. Middleware such as enterprise application and data integration and messaging can be ported. Full applications like web frontends LAMP and Memcached can be supported and scaled across a massive number of virtual machines. Data center and cloud management applications can be ported to setup cloud workloads with multiple application tiers with dynamic provisioning and on-the-fly upgrade ability.
The Project Thunder SDK provides programmers access to an array of cache coherent 64-bit ARMv8 CPU cores, Interrupt Controller, Network connectively, Mass storage interface, Timers, SMMU and console. All device drivers and utilities required for the Project Thunder platform components are included. The SDK also includes a cross development platform enabling programmers to write their own applications or build third party packages for Project Thunder. In addition, the SDK includes a UEFI compliant firmware which is used to boot OS images.
"Cavium is a leading processor vendor with over a decade of experience in successfully delivering high performance, high-core count 64-bit multicore processors that are being used by Tier-1 system providers to build best-in-class solutions," said M. Raghib Hussain , CTO & Corporate Vice President Software, Cavium. "Project Thunder SDK will jump start the transition of cloud and datacenter workloads to next generation, high performance, low power Project Thunder 64-bit ARMv8 SOCs from Cavium."
The Project Thunder SDK is currently available for selected partners. Application programmers interested in access can apply for access by completing the form at: http://www.cavium.com/thundersdk_access_application.html
Cavium is a leading provider of highly integrated semiconductor products that enable intelligent processing in networking, communications and the digital home. Cavium offers a broad portfolio of integrated, software compatible processors ranging in performance up to 100 Gbps that enable secure, intelligent functionality in enterprise, data-center, broadband/consumer and access & service provider equipment. Cavium's processors are supported by ecosystem partners that provide operating systems, tool support, reference designs and other services. Cavium's principal offices are in San Jose, California with design team locations in California, Massachusetts, India and China.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
he study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.