What high performance computing solutions can do for you with custom datapaths and memory hierarchies, and a rich developer toolset, xilinx fpga accelerated applications can enable optimized hardware and software implementations with the flexibility to adapt to changing requirements without sacrificing performance and energy efficiency. The bulk of new servers added to the platform will be fitted with field programmable gate arrays fpgas a type of chip whose core logic can be reconfigured using software. Systems having high performance servers range from server farms to super computers. Openclready high speed fpga network for reconfigurable. One main drawback to using fpgas is the difficulty in programming them 3. Whether youre a developer, isv, or technical researcher, if you need to optimize highperformance software on todays leading processors, one book delivers the advanced techniques and code examples you need. Fpgaaccelerated highperformance computing close to breakthrough or pipedream.
Many options are open to businesses when designing a product. Experienced fpga users will find 1 the fpga as a computing platform. We study multiple opencl kernels per benchmark, ranging from direct ports of the original gpu implementations to looppipelined kernels specifically optimized for fpgas. The world of high performance computing is a rapidly evolving field of study. In recent years, several research groups have built fpgabased parallel machines e. Field programmable gate arrays fpgas have gained attention in highperformance computing hpc research because their computation and communication capabilities have dramatically improved in recent years as a result of improvements to semiconductor integration technologies that depend on moores law. A compute model for generating high performance computing socs on hybrid systems with fpgas felix friedrich, eth zurich. In this paper, we will focus on the embedded segment and. In a hprc system, problems are described using a more familiar high.
Computing performance benchmarks among cpu, gpu, and. The principal difference when compared to using ordinary microprocessors is the ability to make substantial changes to the datapath itself in addition to. It has concluded a multiyear strategic collaboration with xilinx to develop fpgaenabled workload acceleration on powerbased systems. In this chapter, we will present a brief overview of fpgas and fpgabased platforms and present the general philosophy behind using the c language for fpga application development. This book provides an overview of architectures, tools and applications for highperformance reconfigurable computing hprc. Gpus can provide astonishing performance using the hundreds of cores available. Highperformance dynamic programming on fpgas with opencl sean o. Fpgas offer very high io bandwidth and finegrained, custom and. For instance, your laptop is probably a duo core model of some sort, right. Highperformance computing using fpga covers the area of high performance reconfigurable computing hprc.
Because good computing modes for software are not necessarily good computing modes for hardware, restructuring an application can often substantially improve its performance. Understand the importance of communication overhead in high performance computing. Our cloud platform enables software developers to program, deploy, scale, and manage fpgas for accelerating highperformance applications. Explore azure hpc solutions by industry and application to find the products and services you need to achieve your unique business objectives. We will by example, show the basic concepts of parallel computing. Use a computing mode appropriate for fpgas while fpga con. The visualization team develops and supports tools for visualizing and presenting scientific data generated by users of the lc highperformance computing center. Although fpgas have been in existence for more than two decades and known for their inherent ability to perform fine grain parallel processing tasks very efficiently, it is only in the last couple of years we could see the realization of their potential in the highperformance computing world. It would seem that hpc is an unlikely target for fpgas, as the fpga with all of its. This book is concerned with the emerging field of high performance reconfigurable computing hprc, which aims to harness the high performance and relative low power of reconfigurable hardwarein the form field programmable gate arrays fpgas in high performance computing hpc applications. Design exploration and customization using highlevel compilation and synthesis tools provides a set of reallife example implementations that migrate traditional desktop systems to embedded systems.
Fpgaaccelerated highperformance computing close to. We evaluate the power and performance of the rodinia benchmark suite using the altera sdk for opencl targeting a stratix v fpga against a modern cpu and gpu. It is computing at a level well above that of generalpurpose computers. The fpga highperformance computing alliance parallel toolkit. Memory gap 1980 1985 1990 1995 2000 2005 1 10 100 rs rs igal g. Document book highperformance computing using fpgas. Here we go aerodynamics simulations cars, aircraft, spacecraft design, usually for energy. Technologies that are currently represented in data centers include hybrid network cards from some manufacturers such as mellanox or solarflare, fpgabased highspeed trading devices, network appliances with nics repurposed for specific applications, ibm. Pdf from opencl to highperformance hardware on fpgas. The traditional way to program fpgas has been through the use of hardware.
Computing using fpgas fpgas are now being used for acceleration in a wide range of applications, both in highperformance servers and embedded computers. Reconfigurable computing leveraging field programmable gate arrays fpgas is one of many accelerator technologies that are being investigated for application to high performance computing hpc. Since their invention in the mid1980s, fpgas have been used to. This white paper describes the various use models for applying fpgas in high performance computing hpc systems. With prebuilt configurable logic blocks, ios, memories, and routing resources, it can be configured to implement any custom hardware functionality. General highperformance computing hpc the basics of hpc.
The advantages and disadvantages of parallel computing will be discussed. According to vanderbauwhede whom incidentally, wrote the book on high performance computing on fpgas if code has already been optimized for other accelerators, including gpus, much of the heavy lifting has already been done. Understand amdahls law for parallel and serial computing. Is a compute stick able to run a skype video call on a. Patrick hunziker, university hospital basel abstract the design of complex systems on fpgas can be challenging because of the semantic gap between development of high. Reconfigurable computing is a computer architecture combining some of the flexibility of software with the high performance of hardware by processing with very flexible high speed computing fabrics like fieldprogrammable gate arrays fpgas.
Highperformance reconfigurable computing hprc is a computer architecture combining reconfigurable computingbased accelerators like fieldprogrammable gate arrays fpgas with cpus, multicore microprocessors, or other parallel computing systems. In his teams work on fpgas for a select set of hpc applications, it took about one month for a full time person to. Users can achieve 10x better latency and throughput using fpgas available on leading cloud service providers like aws. Since their invention in the mid1980s, fpgas have been used to accelerate highperformance applications on custom computing machines. High level programming of fpgas for hpc and data centric. Embedded computing for high performance 1st edition. Im going to have trouble keeping this list short, but i promise it will be fun. Evaluating and optimizing opencl kernels for high performance computing with fpgas abstract. The ready availability and highpower efficiency of highdensity fpgas make them attractive to the hpc community. Modern fpgas consist of logic blocks, gates, memories, alus and even embedded processors, which can be arbitrarily interconnected to implement a hardware algorithm. Is a compute stick able to run a skype video call on a samsung uhd tv. But it was an announcement about ibms interest in fpgas that attracted attention. At sc15, ibm, in turn, announced new offerings centered on the tight integration of ibms power processors with accelerators. Highperformance reconfigurable computing hprc is a computer architecture combining reconfigurable computingbased accelerators like fieldprogrammable gate arrays fpgas with cpus, multicore microprocessors, or other parallel computing systems ref.
Th e ready availability and highpower efficiency of highdensity fpgas make th em attractive to the hpc community. December 6, 2016 december 17, 2017 duongnt leave a comment. Hard macros dsps, encryptiondecryption, cpus, and internal. License information the high performance computing group colicenses nag with courant institute of mathematical sciences.
Download the software from the nag website and email the high performance computing group for the activation key. High performance parallel data storage is provided using the lustre filesystem. The fpgaparallel computing lab is focused on solving data, compute and memory intensive problems in the intersection of high speed network processing, dataintensive computing, and high performance computing. This book is concerned with the emerging field of high performance reconfigurable computing hprc, which aims to harness the high performance and relative low power of reconfigurable hardwarein the form field programmable gate arrays fpgasin high performance computing hpc applications. On the other hand, fpgas can provide computational acceleration to many signal and data processing applications. The figures below show simplified view of current fpga architectures. Due to their inherent flexibility, xilinx fpgas have been used in programmable solutions such as serving as a prototype vehicle as well as being a highly flexible alternative to application. I have a 1080p webcam that i want to plug into the stick. Highperformance computing using fpgas springerlink. High performance computing on fpgas abstract techonline. Distributed fpgas solution for highperformance computing.
Highperformance computing for neuroinformatics using fpga will x. Achieving high performance with fpgabased computing. Working with popular hardware, including xilinx and arm, the book offers a comprehensive description of techniques for mapping computations. High performance server systems with high performance server are used by scientists, engineers and analysts to analyse large quantity of data. Typically, the problems under consideration cannot be solved on a. Fpgas are reprogrammable or rather reconfigurable silicon chips. Using this bandwidth greatly facilitates high performance and is an outstanding asset of currentgeneration fpgas. High performance computing system high performance computing is required for servers and for embedded computers. Advancements in silicon, software, and ip have proven xilinx fpgas to be the ideal solution for accelerating applications on highperformance embedded computers and servers. Understand how memory access a ects the speed of hpc programs.
There are so many incredible things that we use supercomputers for. Highperformance computing, otherwise known as hpc, refers to the use of aggregated computing power for handling compute and dataintensive tasks including simulation, modeling, and rendering that standard workstations are unable to address. Highperformance computing is, well, highperformance computing. Application example in molecular dynamics, efficient algorithms for computing the electrostatic interaction often involve mapping charges onto a 3d grid. Software optimization for high performance computing. Understand how the the architecture of high performance computers a ects the speed of programs run on hpcs. Citeseerx document details isaac councill, lee giles, pradeep teregowda.
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