To enhance interoperability, we made Slingshot Ethernet compatible. Customers can choose either or both packaging configurations to meet their individual requirements for density, performance, and efficiency and know they are getting the full functionality of the Cray Shasta platform. The Department of Energy’s Oak Ridge National Laboratory has selected American HPC company Cray–and its technology partner AMD–to provide the lab with its first exascale supercomputer for 2021 deployment. This reduces latency, but also reduces cost; the Shasta network requires half—or for larger systems, one quarter—the number of optical cables as a fat-tree to provide the same level of global bandwidth.That provides great peak price-performance, but it’s how Slingshot uses that bandwidth that really sets it apart. No longer does the poorly written application cause congestion that interferes with other workloads on the system. “Exascale systems demand a complex balance of compute, interconnect, and software capabilities to enable HPC and AI applications to execute simultaneously and with optimal performance,” said Current approaches to delivering dense GPU compute form factors have hit limitations in packaging density due the amount of power that can be delivered to a blade, resulting in more datacenter floorspace being required to deliver comparable performance. The two companies are also working together on enhancements for the Cray Programming Environment and ROCm, AMD's open source Radeon Open Compute platform, to take full advantage of the CPUs and GPUs. All those ports allow us to build very large networks with very low diameter.
Slingshot switches can connect directly to third-party Ethernet-based storage devices, and to datacenter Ethernet networks.
The Cray Programming Environment (Cray PE) has delivered these core capabilities for Cray users for decades and, as part of this program, will see a number of enhancements for increased functionality and scale.This will start with Cray working with AMD to enhance these tools for optimized GPU scaling with extensions for Radeon Open Compute Platform (ROCm). It wouldn’t make sense to estimate your workday commute time by driving the route at 4 a.m., and it certainly doesn’t make sense to evaluate network performance by exchanging packets on an otherwise idle network.In addition to the adaptive routing and congestion control mechanisms, Slingshot also provides traffic classes that provide a great amount of flexibility in terms of bandwidth shaping, priority, and routing policy.
); it’s latency under load, at scale, which primarily comes from queueing latency.
Cray is getting ready to ship its “Shasta” systems with the first generation Slingshot switches and their Rosetta ASIC in the fourth quarter, and the silicon is so good, according to Scott, that Cray can do so on the A0 stepping of the chips coming … Cray did something similar with Appro when Appro won a large government supercomputer cluster contract. Computing faster with quasi-particles ... Quantum computing with graphene plasmons ... Focus on Europe Unlike our previous designs, Slingshot can support a variable number of injection ports per node, as well as optional tapering of global bandwidth, to flexibly match the cost and performance of the network to the target workloads.Another increasingly important consideration for future data-centric systems is interoperability with storage and datacenters. U.S. Department of Energy and Cray to deliver record-setting Frontier supercomputer at ORNL ... Cray pursues advanced research with DOE for exascale systems ... CAAR accepting application team proposals for Frontier system ... Quantum computing. It implements an innovative congestion control mechanism that’s extremely responsive, requires no tuning, and is stable across a wide range of dynamic HPC workloads. Datacenter Ethernet networks attack the problem by dropping packets when local congestion rises above some threshold, and then using some form of congestion control to try to stop the transmission of excess bandwidth into the network. Our supercomputing, storage and analytics products are designed to help you tackle the most challenging problems in science, engineering and business.Meet the company that has been leading the way in supercomputing for over 40 years.Our service teams, backed by Cray support systems, are highly skilled and experienced in providing world-class support for mission-critical systems.Cray is a global company headquartered in Seattle, Washington.“The Frontier system architecture embodies the compute and data intensive capabilities required to unlock the full potential of the exascale era,” said Shasta supercomputers are set to be the technology underpinning the exascale era, which is characterized by a deluge of new data and a convergence of modeling, simulation, analytics, and AI workloads. These software enhancements will leverage low-level integrations of AMD ROCmRDMA technology with Cray Slingshot to enable direct communication between the Slingshot NIC to read and write data directly to GPU memory for higher application performance. These software enhancements will leverage low-level integrations of AMD ROCmRDMA technology with Cray Slingshot to enable direct communication between the Slingshot NIC to … The genesis of Slingshot dates back to 1992 when we introduced the Cray T3D, our first massively parallel processing system. Outstanding aftermarket support includes highly skilled and comprehensive service teams, subject matter experts and third-party technology partners