我们超算用GPU,美国把已经把GPU用在军用载具里了

来源:百度文库 编辑:超级军网 时间:2024/04/25 00:59:29


GPU用于超算中的通用计算有很多问题,但是对于信号处理,图像处理等军事中常用的专门应用往往可以发挥更高的效率。
目前已知的使用GPU的军用设备:M2A2车载训练设备,RQ-8无人直升机,MQ-9无人机
主要用于可视化,图像增强,图像降噪

GE to Revolutionize Military with NVIDIA CUDA Technology
Brings GPU-Based Supercomputing to Small, Lightweight, Rugged Embedded Platforms

GE Fanuc Intelligent Platforms, a unit of GE Enterprise Solutions, today announced that it had signed an agreement with NVIDIA® Corporation for GE Fanuc to develop new hardware products using NVIDIA graphics processing units (GPUs) based on the award-winning CUDA architecture, for military and aerospace applications. These new products will deliver substantial increases in processing capability for applications and environments that require leading edge computing such as radar, signals intelligence and video surveillance and interpretation.

"There has long been interest in taking the processing performance inherent in state-of-the-art GPUs - such as their massively parallel computing capability - and applying that to problems that have historically been solved using complex DSP and FPGA processor architectures," said Peter Cavill, General Manager, Military & Aerospace Products at GE Fanuc Intelligent Platforms. "The CUDA architecture allows us to offer our customers a level of processing performance that surpasses anything else in the industry by a significant margin. NVIDIA GPUs, in effect, bring the power of supercomputing and parallel processing to applications that are size-, weight- and power-constrained, and will enable us to create new generations of powerful mobile military platforms."

NVIDIA's CUDA Technology delivers up to 100x increase in speed in a broad range of applications that lend themselves to parallel computing. Early tests at GE Fanuc have shown that military applications will benefit from similar increases in speed. A major prime contractor in the military/aerospace industry has evaluated the CUDA architecture in a radar system, and found that performance improvement of 15x is achievable with minimal reprogramming effort. Other prime contractors are expressing substantial interest in the technology.

"CUDA is becoming increasingly pervasive in a broad range of environments and applications, and has reached a tipping point," said Taner Ozcelik, General Manager, Embedded Business at NVIDIA. "We're delighted to help GE Fanuc revolutionize mission critical embedded computing with CUDA in demanding military and aerospace applications, which have been historically constrained by compute performance."

In addition to having potential applications in radar, signals intelligence, and video surveillance and interpretation, GPUs based on the CUDA architecture represent outstanding potential in other application areas including target tracking, image stabilization, SAR (synthetic aperture radar) simulation, pattern recognition, video encoding/decoding, graphics rendering, object recognition, in-crowd behavioral monitoring and analysis, cryptography, sensor processing and software defined radio. Traditional graphics applications will also benefit greatly from high performance NVIDIA GPUs.

New GE Fanuc hardware products featuring CUDA-based GPUs will be announced in the fourth quarter. The first board will be 3U VPX-based and will benefit from a broad-ranging supporting infrastructure of other GE Fanuc 3U VPX solutions and services, allowing customers to specify tailored multi-board solutions. Alternatively, a CUDA-enabled 3U VPX rugged graphics subsystem will also be available.

A family of 6U VPX products will feature combinations of Intel® dual core processors and NVIDIA CUDA-enabled GPUs, allowing designers to create highly sophisticated, powerful multi-board solutions for the most demanding applications. This family, as well as the new 3U VPX platform, will additionally support OpenCL.

The CUDA architecture enables programmers to write programs in conventional computing languages to access the massively parallel processing capabilities of the GPU. This architecture, in tandem with the CUDA C language - the same as conventional C with minor extensions - allows developers to achieve transformative increases in performance.

The ease of CUDA development reduces customers' time to market, enabling substantial performance increases to be gained for minimal investment of time and effort. Application- or porting development can be achieved on a commercial desktop system and transferred to rugged deployable hardware from GE Fanuc.

About GE Fanuc Intelligent Platforms

GE Fanuc Intelligent Platforms, a joint venture between General Electric Company (NYSE:GE) and FANUC LTD of Japan, is an experienced high-performance technology company and a global provider of hardware, software, services, and expertise in automation and embedded computing. We offer a unique foundation of agile, advanced and ultra-reliable technology that provides customers a sustainable advantage in the industries they serve, including energy, water, consumer packaged goods, government & defense, and telecommunications. GE Fanuc Intelligent Platforms is a worldwide company headquartered in Charlottesville, VA and is part of GE Enterprise Solutions. For more information, visit www.gefanuc.com.

About GE Enterprise Solutions

GE Enterprise Solutions elevates customers' productivity and profitability with integrated solutions using sensors and non-destructive testing; security and life safety technologies; power system protection and control; and plant automation and embedded computing systems. Enterprise Solutions' high-tech, high-growth businesses include Sensing & Inspection Technologies, Security, Digital Energy, and GE Fanuc Intelligent Platforms. The business has 17,000 problem-solving employees in more than 60 countries around the world.

GPU用于超算中的通用计算有很多问题,但是对于信号处理,图像处理等军事中常用的专门应用往往可以发挥更高的效率。
目前已知的使用GPU的军用设备:M2A2车载训练设备,RQ-8无人直升机,MQ-9无人机
主要用于可视化,图像增强,图像降噪

GE to Revolutionize Military with NVIDIA CUDA Technology
Brings GPU-Based Supercomputing to Small, Lightweight, Rugged Embedded Platforms

GE Fanuc Intelligent Platforms, a unit of GE Enterprise Solutions, today announced that it had signed an agreement with NVIDIA® Corporation for GE Fanuc to develop new hardware products using NVIDIA graphics processing units (GPUs) based on the award-winning CUDA architecture, for military and aerospace applications. These new products will deliver substantial increases in processing capability for applications and environments that require leading edge computing such as radar, signals intelligence and video surveillance and interpretation.

"There has long been interest in taking the processing performance inherent in state-of-the-art GPUs - such as their massively parallel computing capability - and applying that to problems that have historically been solved using complex DSP and FPGA processor architectures," said Peter Cavill, General Manager, Military & Aerospace Products at GE Fanuc Intelligent Platforms. "The CUDA architecture allows us to offer our customers a level of processing performance that surpasses anything else in the industry by a significant margin. NVIDIA GPUs, in effect, bring the power of supercomputing and parallel processing to applications that are size-, weight- and power-constrained, and will enable us to create new generations of powerful mobile military platforms."

NVIDIA's CUDA Technology delivers up to 100x increase in speed in a broad range of applications that lend themselves to parallel computing. Early tests at GE Fanuc have shown that military applications will benefit from similar increases in speed. A major prime contractor in the military/aerospace industry has evaluated the CUDA architecture in a radar system, and found that performance improvement of 15x is achievable with minimal reprogramming effort. Other prime contractors are expressing substantial interest in the technology.

"CUDA is becoming increasingly pervasive in a broad range of environments and applications, and has reached a tipping point," said Taner Ozcelik, General Manager, Embedded Business at NVIDIA. "We're delighted to help GE Fanuc revolutionize mission critical embedded computing with CUDA in demanding military and aerospace applications, which have been historically constrained by compute performance."

In addition to having potential applications in radar, signals intelligence, and video surveillance and interpretation, GPUs based on the CUDA architecture represent outstanding potential in other application areas including target tracking, image stabilization, SAR (synthetic aperture radar) simulation, pattern recognition, video encoding/decoding, graphics rendering, object recognition, in-crowd behavioral monitoring and analysis, cryptography, sensor processing and software defined radio. Traditional graphics applications will also benefit greatly from high performance NVIDIA GPUs.

New GE Fanuc hardware products featuring CUDA-based GPUs will be announced in the fourth quarter. The first board will be 3U VPX-based and will benefit from a broad-ranging supporting infrastructure of other GE Fanuc 3U VPX solutions and services, allowing customers to specify tailored multi-board solutions. Alternatively, a CUDA-enabled 3U VPX rugged graphics subsystem will also be available.

A family of 6U VPX products will feature combinations of Intel® dual core processors and NVIDIA CUDA-enabled GPUs, allowing designers to create highly sophisticated, powerful multi-board solutions for the most demanding applications. This family, as well as the new 3U VPX platform, will additionally support OpenCL.

The CUDA architecture enables programmers to write programs in conventional computing languages to access the massively parallel processing capabilities of the GPU. This architecture, in tandem with the CUDA C language - the same as conventional C with minor extensions - allows developers to achieve transformative increases in performance.

The ease of CUDA development reduces customers' time to market, enabling substantial performance increases to be gained for minimal investment of time and effort. Application- or porting development can be achieved on a commercial desktop system and transferred to rugged deployable hardware from GE Fanuc.

About GE Fanuc Intelligent Platforms

GE Fanuc Intelligent Platforms, a joint venture between General Electric Company (NYSE:GE) and FANUC LTD of Japan, is an experienced high-performance technology company and a global provider of hardware, software, services, and expertise in automation and embedded computing. We offer a unique foundation of agile, advanced and ultra-reliable technology that provides customers a sustainable advantage in the industries they serve, including energy, water, consumer packaged goods, government & defense, and telecommunications. GE Fanuc Intelligent Platforms is a worldwide company headquartered in Charlottesville, VA and is part of GE Enterprise Solutions. For more information, visit www.gefanuc.com.

About GE Enterprise Solutions

GE Enterprise Solutions elevates customers' productivity and profitability with integrated solutions using sensors and non-destructive testing; security and life safety technologies; power system protection and control; and plant automation and embedded computing systems. Enterprise Solutions' high-tech, high-growth businesses include Sensing & Inspection Technologies, Security, Digital Energy, and GE Fanuc Intelligent Platforms. The business has 17,000 problem-solving employees in more than 60 countries around the world.
以后可以边打仗边玩WOW了
技术积累是问题 国内貌似没有做图形处理器的厂家把。。。总不至于拆一块NV或者AMD的显卡上飞机
图形处理器的计算能力是CPU无法望其项背的
回复 4# 神武玄机


GPU的浮点运算能力太强悍了。。。
这算啥,我早就用在我的电脑里了
楼主难道认为GPU是比CPU高档的东西?难道你不知道你电脑的显卡用的是什么?
国内也用了,国防科大就有,之前用ATI的芯片做过类似的事


回复 7# kyanbasara


    You are so~~~~ out

    配置均衡的电脑里,GPU的峰值性能和显存带宽都要比CPU强。
   用于图形处理时因为有纹理加速,部分应用可以获得两个数量级的性能提升。

回复 7# kyanbasara


    You are so~~~~ out

    配置均衡的电脑里,GPU的峰值性能和显存带宽都要比CPU强。
   用于图形处理时因为有纹理加速,部分应用可以获得两个数量级的性能提升。

回复  kyanbasara


    You are so~~~~ out

    配置均衡的电脑里,GPU的峰值性能和显存带宽都要比 ...
DARKSTORM 发表于 2010-12-1 00:04


拜托你就说说你显卡那块是什么就好了,不要弄些数据出来

另外,再问一句,楼主你是不是觉得GPU比CPU比较高档?

补充:俺对这个不熟悉,但喜欢喷两句,楼主的标题,呵呵,这个调调还真是有点熟悉。
回复  kyanbasara


    You are so~~~~ out

    配置均衡的电脑里,GPU的峰值性能和显存带宽都要比 ...
DARKSTORM 发表于 2010-12-1 00:04


拜托你就说说你显卡那块是什么就好了,不要弄些数据出来

另外,再问一句,楼主你是不是觉得GPU比CPU比较高档?

补充:俺对这个不熟悉,但喜欢喷两句,楼主的标题,呵呵,这个调调还真是有点熟悉。
切,美国人才用在载具上,哥的个人PC上早就用上了,美国人真out~~~~~~~~~~~
kyanbasara 发表于 2010-11-30 23:15

你没见过高档显卡吧?5000美元的Quadro 6000,13000美元的Quadro Plex,够高档不?

就是一般玩家,用4000元的GTX580/HD 5970的也不少。
忆江南 发表于 2010-12-1 10:40


    附议!
中国早在用了,我们老师就在做,雷达成像系统中的
CPU和GPU侧重点是不同的……不然GPU早就代替CPU了……
deam 发表于 2010-12-1 11:28

貌似有些单是芯片就超过这个价钱的CPU泪流满面
俺说的不是价钱,而是本质上的高低档,正如楼上所说,侧重点不同而已,并不存在GUP比CPU厉害什么的,要不你找台全用GPU的电脑看看

貌似有些单是芯片就超过这个价钱的CPU泪流满面
俺说的不是价钱,而是本质上的高低档,正如楼上所说,侧 ...
kyanbasara 发表于 2010-12-1 18:12


超过13000美金的CPU不是没有,但也真不多了(最高端的Itanium 9350首发报价也就是3803美元)

至于本质上的高低档……我是不知道这个概念是怎么定义的就是了,至于说CPU市场的准入门槛更高倒是没错
貌似有些单是芯片就超过这个价钱的CPU泪流满面
俺说的不是价钱,而是本质上的高低档,正如楼上所说,侧 ...
kyanbasara 发表于 2010-12-1 18:12


超过13000美金的CPU不是没有,但也真不多了(最高端的Itanium 9350首发报价也就是3803美元)

至于本质上的高低档……我是不知道这个概念是怎么定义的就是了,至于说CPU市场的准入门槛更高倒是没错
CPU 准入门槛高,那是被Intel挤的:Q

超过13000美金的CPU不是没有,但也真不多了(最高端的Itanium 9350首发报价也就是3803美元)

至于本 ...
大狼芬里尔 发表于 2010-12-1 18:37


老实说,芯片这类真不是我的菜,不过在我理解来说CPU跟GPU虽然结构跟侧重不相同,但在技术含量上并没有很大的区别,也许可以用F35的海军跟空军版来比喻恰当不?所以我对楼主的标题很不爽,是的,不爽,反感而已,对这种好像在说风凉话阴阳怪气的反感,按照楼主的语气和说法大概是“你超级电脑用GPU有什么了不起的,人家MD早都把GPU用在战机上了,所以你超算也没啥了不起的。”
这标题要贬人的语气也太露骨了吧,而且扁得毫无根据,先不说用在超算上的GPU跟用在无人机上的GPU用途都有啥不同,这GPU用于图像处理也没见得有啥了不起吧,GPU用来处理图像也很正常啊。也就引出了我感觉楼主该不会是认为“GPU比CPU厉害”的想法,当然,以上都是我的臆测,楼主大可以在后面说说他发这个贴有没有想以此借题发挥,特意要贬低TG科研成果的想法。
如果他说有的话,那我就不用继续说下去了,而如果他说没有的话,我也可以道歉,就这样。

补充:上面列举的是整块显卡的价钱吧?更不要说Quadro Plex这种体积就几乎一台电脑,里面甚至还有硬盘什么的外置专业显卡了,如果单纯的芯片话同个技术级别做出来的CPU和GUP价钱应该不会差很多
超过13000美金的CPU不是没有,但也真不多了(最高端的Itanium 9350首发报价也就是3803美元)

至于本 ...
大狼芬里尔 发表于 2010-12-1 18:37


老实说,芯片这类真不是我的菜,不过在我理解来说CPU跟GPU虽然结构跟侧重不相同,但在技术含量上并没有很大的区别,也许可以用F35的海军跟空军版来比喻恰当不?所以我对楼主的标题很不爽,是的,不爽,反感而已,对这种好像在说风凉话阴阳怪气的反感,按照楼主的语气和说法大概是“你超级电脑用GPU有什么了不起的,人家MD早都把GPU用在战机上了,所以你超算也没啥了不起的。”
这标题要贬人的语气也太露骨了吧,而且扁得毫无根据,先不说用在超算上的GPU跟用在无人机上的GPU用途都有啥不同,这GPU用于图像处理也没见得有啥了不起吧,GPU用来处理图像也很正常啊。也就引出了我感觉楼主该不会是认为“GPU比CPU厉害”的想法,当然,以上都是我的臆测,楼主大可以在后面说说他发这个贴有没有想以此借题发挥,特意要贬低TG科研成果的想法。
如果他说有的话,那我就不用继续说下去了,而如果他说没有的话,我也可以道歉,就这样。

补充:上面列举的是整块显卡的价钱吧?更不要说Quadro Plex这种体积就几乎一台电脑,里面甚至还有硬盘什么的外置专业显卡了,如果单纯的芯片话同个技术级别做出来的CPU和GUP价钱应该不会差很多
我们超算上的GPU又不是国产的。

愤的真没逻辑。

我们超算上的GPU又不是国产的。

愤的真没逻辑。
rythem 发表于 2010-12-1 19:51


咦,这个还真是耶,俺对不起大家,俺要跳楼,俺要……不过没关系,幸好楼主没有针对TG的GUP不是自己产的而只是说TG“用”GPU“用”得不如MD高明而已
我们超算上的GPU又不是国产的。

愤的真没逻辑。
rythem 发表于 2010-12-1 19:51


咦,这个还真是耶,俺对不起大家,俺要跳楼,俺要……不过没关系,幸好楼主没有针对TG的GUP不是自己产的而只是说TG“用”GPU“用”得不如MD高明而已

老实说,芯片这类真不是我的菜,不过在我理解来说CPU跟GPU虽然结构跟侧重不相同,但在技术含量上并没有 ...
kyanbasara 发表于 2010-12-1 19:39



    你还真是臆测,我读书的时候就是做的GPU合成孔径雷达信号仿真。GPU在信号处理上比CPU确实强一大截

    现在TG主要问题板级还没没有能上载具的产品,温度和可靠性达不到上军品的标准。

    我们需要把GPU丢进战车,丢进航母,丢进飞机...美帝已经做到了。
老实说,芯片这类真不是我的菜,不过在我理解来说CPU跟GPU虽然结构跟侧重不相同,但在技术含量上并没有 ...
kyanbasara 发表于 2010-12-1 19:39



    你还真是臆测,我读书的时候就是做的GPU合成孔径雷达信号仿真。GPU在信号处理上比CPU确实强一大截

    现在TG主要问题板级还没没有能上载具的产品,温度和可靠性达不到上军品的标准。

    我们需要把GPU丢进战车,丢进航母,丢进飞机...美帝已经做到了。
DARKSTORM 发表于 2010-12-1 22:18

汗,俺道歉,但这标题实在太那个了点,最近大量JY和美分党出没,很容易误伤
kyanbasara 发表于 2010-12-1 19:39

谁告诉你Quadro Plex里面还带硬盘了?
kyanbasara 发表于 2010-12-1 18:12

啥叫“本质上的高低档”?

谁告诉你Quadro Plex里面还带硬盘了?
deam 发表于 2010-12-1 22:34


咦,没有么?再查查先,哦,那个还真的没有耶,搞错了,被那张混进来的图弄糊涂了,下次注意点
不过那个体积还真是恐怖,而且还不好玩游戏

“本质的高低档”这个我已经在上面贴写了我的个人见解了,同不同意你就看着办吧,我也没咋的,我又不是干这行的,反而上面说的那些专业显卡跟我关系大点,我想用那个很久了,就是俺没那个钱还用不上
谁告诉你Quadro Plex里面还带硬盘了?
deam 发表于 2010-12-1 22:34


咦,没有么?再查查先,哦,那个还真的没有耶,搞错了,被那张混进来的图弄糊涂了,下次注意点
不过那个体积还真是恐怖,而且还不好玩游戏

“本质的高低档”这个我已经在上面贴写了我的个人见解了,同不同意你就看着办吧,我也没咋的,我又不是干这行的,反而上面说的那些专业显卡跟我关系大点,我想用那个很久了,就是俺没那个钱还用不上
国产GPU(三维图形硬件)项目不完全回顾
http://lt.cjdby.net/thread-950625-1-1.html
基本常识,基本常识。大家到底在争什么?值得一挣吗?

大脑聪明就不要胳膊了?胳膊强壮所以肺就没用了?