Showing posts with label HPC markets. Show all posts
"We invite submissions introducing a wide range of topics, levels and considerations in HPC architectures, applications and usage – from fundamentals to the latest advances and hot topic areas. Submissions can be proposed as papers or presentation only (without papers). Each submission should indicate any unique criteria and requirements along with scheduling and format preferences in your proposal. Sessions can be defined as technical sessions, workshop(s) and/or as part of a ‘mini’ series of quick take tutorials."
“Over two days we’ll delve into a wide range of interests and best practices – in applications, tools and techniques and share new insights on the trends, technologies and collaborative partnerships that foster this robust ecosystem. Designed to be highly interactive, the open forum will feature industry notables in keynotes, technical sessions, workshops and tutorials. These highly regarded subject matter experts (SME’s) will share their works and wisdom covering everything from established HPC disciplines to emerging usage models from old-school architectures and breakthrough applications to pioneering research and provocative results. Plus a healthy smattering of conversation and controversy on endeavors in Exascale, Big Data, Artificial Intelligence, Machine Learning and much much more!”
High
Performance Computing is a practice to aggregate computing power that
delivers high performance capabilities in handling large number problems
in science, business or engineering fields.HPC systems involve all
types of servers and micro servers that are being used for highly
computational or data intensive tasks. Currently, as HPC has been firmly
linked to the economic competitiveness and scientific advances it is
becoming important to nations. The worldwide study showcases, 97% of the
companies have adopted supercomputing platforms and says that they
won’t survive without it.
Faster computing capabilities of micro servers or HPC systems,
improved performance efficiency and smarter deployment & management with high
quality of service are some key factors driving the growth of HPC market. The
major challenges for these HPC systems are power, cooling system management and
storage & data management. The importance of storage & data management
would continue to grow in future. In additions to this, software hurdles
continues to grow, which are restraining the growth of HPC market. HPC
technology is being rapidly adopted by the academic institutions and various
industries to build reliable and robust products that would enable to maintain
a competitive edge in the business. Various vendors are also targeting to
provide high performance converged technology solutions. As this trend is
gaining significant relevance, the market is growing steadily and it would
continue its growth in future.
High Performance Computing market analysis by Components
HPC involves various components and some of them could be listed
as Hardware and architecture, software and system management and professional
services. Hardware components are the most essential parts in any HPC system.
The efficiency of the system is totally dependent on the hardware entities in
HPC. Hardware and architecture segment of HPC includes memory capacity
(storage), energy management, servers and network devices. Servers consist of
super computer, divisional, departmental &workgroup. Supercomputers and
departmental units are the fastest elements to be sold in hardware and
architecture section. Another essential component of HPC is software and
management system. It comprises of middleware, programming tools, performance
optimization tools, cluster management and fabric management. Finally,
professional services provided are design & consulting, integration &
deployment and Training & outsourcing.
High Performance Computing market analysis by Deployment
The different types of deployment methods of HPC are Cloud based
and on-premise based methods. Cloud deployment is most popular in the industry,
as cloud-computing technologies are popularly adopted by the players in
different industries. The research shows that cloud technology market is
expected to grow due to its high adoption rate, while the usage on-premise
deployment method would decline slowly.
High Performance Computing market analysis by Application
The major application sections of HPC are High Performance
technical computing and High performance business computing. Technical
computing of the HPC includes various sectors such as Government, Chemicals,
Bio-sciences, Academic institutions, Consumer products, Energy, Electronics and
Others. High performance data analysis is being used in government sector for
national security & crime fighting. In addition to this, HPCs are used in
fraud detection and customer acquisition/retention across other sectors. High
Performance Business Computing includes media entertainment, online gaming,
retail, financial service, ultra scale internet, transportation and others.
High Performance Computing market analysis by Geography
The high performance computing market is being analyzed in
different geographic regions such as North America, Europe, Asia-Pacific and
LAMEA. North America is the largest market for HPC technology due to the
technological advancements and early adoption of technology in the region
followed by Europe.
Competitive Landscape
The key market players are adopting product launch as their
principle strategy to provide high performance solutions in different
industries. Cisco is providing high performance computing solution for
financial services that overcome low latency requirements, high message rate and
throughput requirements, predictability to avoid jitter & spikes and
building large computing grids in cost effective manner.
Some major players in HPC market are IBM, Intel, Fujistu, AMD,
Oracle, Microsoft, HP, Dell, Hitachi Data System and Cisco.
HIGH LEVEL ANALYSIS
Study of the market showcases the current market trends, market
structures, driving factors, limitations and opportunities of the global HPC
market. Porter’s Five Force Model helps in analyzing the market forces,
barriers, strengths, etc., of the global market. Bargaining power of the buyer
is low as the product is highly differentiated and threat of backward
integration is low. The suppliers in this market are more concentrated than
buyers, due to which the bargaining power of suppliers is high. Threat of
substitutes in the global market is high as the switching costs are minimal. As
HPC is a novel concept, threat of new entrants in the industry is high, while,
the moderate number of market players leads to moderate intersegment rivalry in
the market. Value chain analysis helps in analyzing the role of key
stakeholders in the supply chain of the market and would provide new entrants
with knowledge about the value chain of the existing market.
KEY BENEFITS
- Porters five force’s model helps in analyzing the potential of buyers & suppliers, and the competitive sketch of the market, which would guide the market players to develop strategies accordingly
- Assessments are made according to the current business scenario and the future market structure & trends are forecast for the period 2013-2020 by considering 2013 as base year
- The analysis gives a wider view of the global market including its market trends, market structure, limiting factors and opportunities
- The advantages of the market are analyzed to help the stakeholders identify the opportunistic areas in a comprehensive manner
- The value chain analysis provides a systematic study on the key intermediaries involved, which would in turn help the stakeholders in the market to make appropriate strategies
HIGH PERFORMANCE COMPUTING MARKET KEY DELIVERABLES
Access Report @ https://www.wiseguyreports.com/reports/512543-world-high-performance-computing-market-opportunities-and-forecasts-2014-2022
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The CloudLightning Project in Europe has published preliminary results from a survey on Barriers to Using HPC in the Cloud.
"Cloud
computing is transforming the utilization and efficiency of IT infrastructures
across all sectors. Historically, cloud computing has not been used for high
performance computing (HPC) to the same degree as other use cases for a number
of reasons. This executive briefing is a preliminary report of a larger study
on demand-side barriers and drivers of cloud computing adoption for HPC. A more
comprehensive report and analysis will be published later in 2016. From June to
August 2016, the CloudLightning project surveyed over 170 HPC discrete end
users worldwide in the academic, commercial and government sectors on their HPC
use, perceived drivers and barriers to using cloud computing, and uses of cloud
computing for HPC."
As
shown in Figure 2, trust in cloud computing would appear to be a significant
barrier to adopting cloud computing for HPC workloads. Data management concerns
dominate the responses. This is not surprising given the large number of
bio-science and university and academic respondents within the sample. The main
technical barriers relate to communication speeds. This reflects a perceived
lack of cloud infrastructure capable of meeting the communications and I/O
requirements of high-end technical computing. Government policy is again ranked
low it would seem it is neither a driver nor a barrier. Unsurprisingly
availability and capital expenditure are not barriers reflecting their positive
impact on adoption.
According
to the report, there is unlikely to be a full shift of high performance
computing workloads to the cloud in the short term however there is evidence of
demand to meet the capacity limitations of internal infrastructures including
use cases for testing the viability of the cloud or specific software for
various use cases. This is consistent with previous research.
"Funded
by the European Commission’s Horizon 2020 Program for Research and Innovation,
CloudLightning brings together eight project partners from five countries
across Europe. The project proposes to create a new way of provisioning
heterogeneous cloud resources to deliver services, specified by the user, using
a bespoke service description language. Our goal is to address energy
inefficiencies particularly in the use of resources and consequently to deliver
savings to the cloud provider and the cloud consumer in terms of reduced power
consumption and improved service delivery, with hyperscale systems particularly
in mind."
