HPC Trends for Addison Snell
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1 HPC Trends for 2015 Addison Snell
2 A New Era in HPC
3 Supercomputing for U.S. Industry Report by U.S. Council on Competitiveness Justifications for new levels of supercomputing for U.S. industry Free download from under Publications tab Free webinar recording at under Presentations
4 Need for Scalability 68% Two-thirds of respondents say they could use 10x performance increase over the next five years. 37% Over one-third could use 1,000x
5 Barriers to Scalability Scalability of software is viewed as the #1 barrier for 10x greater scalability This remains a top barrier (with cost of hardware) for 1,000x scalability
6 Software in Commercial HPC Source: Solve. The Exascale Effect: Benefits of Supercomputing Investment for U.S. Industry, new report pending publication, with U.S. Council on Competitiveness
7 Top-Level Budget Expectations
8 Top-Level Budget Distribution
9 SC14: Vendor News CORAL win boosts prospects for OpenPower, GPU adherents Nvidia, AMD, Intel advance accelerator roadmap Bull reveals exascale platform Lenovo hits the ground running with 1TF server SGI extends UV portfolio Dell intros GPU-heavy PowerEdge, Lustre storage Huawei gets in the game with big memory server Mellanox closes loop on 100Gbps Cavium demos 48-core ARM chip
10 Intel vs. the world SC14: Trends IBM, Nvidia, AMD, Mellanox, and ARM, line up against Intel hegemony More server vendors could back away from Intel dependency FLOPS give way to data centricity IBM Power architecture SGI UV 300 and 30EX shared memory systems for in-memory analytics Cray Urika-XA and Urika GD analytics appliances Data Vortex system optimized for data communications; A3CUBE has data-centric architecture
11 The Year Ahead in HPC Server vendors reshuffle market share IBM will drop overall market share in its first year, post-lenovo HP and Dell will vie for HPC server market leadership Lenovo will likely end up as number 3 server vendor in HPC Standard x86 Beowulf cluster yields to more specialized systems ARM, GPU, Xeon Phi, and DSP accelerators in dense, powerefficient designs; AMD APU-based systems OpenPower systems with or without accelerators Systems with integrated flash for fast, nonvolatile data caching Shared memory systems for in-memory analytics
12 The Year Ahead in HPC ARM and OpenPower poised to chip away at x86 dominance 64-bit ARM experimentation continues, more servers, newer processors 3D memory enters the mix Micron commercializing Hybrid Memory Cube Intel will integrate into Knights Landing processor Toshiba, Intel to ship 3D NAND flash devices in 2015; Samsung shipping today Accelerator adoption reaching critical mass; more than half of new HPC systems will contain some type of accelerator in 2015
13 Solutions Evolving for Big Data Commercialized frameworks More than just Hadoop Requires understanding of the specific problem Big-memory appliances for in-memory database The return of shared memory! Amplified by changes in processing architectures Data-centric computing Move the computation, not the data (?) Focus on complete workflows / data flows, not flops
14 Important Technologies for Big Data Parallel file systems Windows and mobile clients Programming environments Middleware (job scheduling, optimization, ) (Okay, sure ) Flash On the other hand: Keep Hadoop in its appropriate place Not so much public cloud Sorry, there s still no killer app
15 Growth in the Big Data Market First off, what does that mean, specifically? Certainly there are more organizations adopting Big Data initiatives, but usually with: Infrastructure they already have People they already have Maybe new software, but much of it open-source or in-house Most real spending is coming from planned upgrades in normal refresh cycles Big Data could help drive enterprise growth soon
16 Help Wanted New applications and architectures create a sudden need for new skills. From where? Even without Big Data, new processor architectures cause reinvention in skills for normal titles like administrator Programming skills and services will be in particularly short supply Warning: A bad analyst can do a lot of bad analysis with good data
17 Conclusions The demand for HPC is undiminished, and the market will continue to grow, but Specialization is now winning out over standard solutions Software is a bigger deal than hardware Skill sets are a bigger deal than facilities Regulation will play an increasing role
18 HPC Trends for 2015 Addison Snell
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