tesla p100

: $ ./reduceInteger starting reduction at device 0: Tesla M2070with array size 16777216 grid 32768 block 512cpu reduce elapsed 29 ms cpu_sum: 2139353471gpu Neighbored elapsed 11 ms gpu_sum: 2139353471 Consider the if condition in the previous section: If (tid % (2 * stride) = 0) Because this expression is true only for threads with even numbers of IDS, it causes high divergent warps. In the first iteration, only threads with even IDs execute commands

after optimization in float computing. However, considering the parallel performance of multiple CPU cores and Fortran, it is estimated that the ultimate advantage of GPU will not be that great, but it may be only 2-3 times better. For dual-precision computing, because the dual-precision of desktop graphics cards is only 1/8 of the single-precision (tesla computing card is 1/2, but expensive, the latest open puller 110 architecture

1. Optimize the shopping process, allow users to choose how many items to buy,2. Allow multiple users to log in, the next time you log in, continue to purchase the last balance, you can recharge (each user has a separate save file)3. Allow users to view previous purchase records (record to display the purchase time of the goods)4. Product List grading display, such as:First level menu:1. Home Appliance Class2. Clothing Category3. Mobile Phone class4. Car Class...Select one, Car class, enter 2nd

four to enroll in a group of four team challenge, the result is to take the championship, the bonus 30,000.Later, he finally tired of these cracked to crack go to the game .... He saw the next area:Artificial intelligenceHe ran to a university and wanted to read a PhD in artificial intelligence. There, he read all the most weighty AI papers of his time. But in college, he was once again disappointed.The high-flyers around, all thinking about how to enter the big company after graduation, how to

(Car):def __init__(self, make, model, year): Car.__init__(self, make, model, year) My_tesla= Electriccar ('Tesla','Model S', 2016)Print(My_tesla.get_descriptive_name ())------------------Line----------------------Tesla Model SHere car is Electriccar's "parent" or "superclass", and Electriccar is the "subclass" or "derived class" of car.The code "car.__init__ (self, made, model, year)" Lets Python make the

statementdef stu_register(name, age, course=‘PY‘ ,country=‘CN‘): print("----注册学生信息------") print("姓名:", name) print("age:", age) print("国籍:", country) print("课程:", course) if age > 22: return False else: return Trueregistriation_status = stu_register("王山炮",22,course="PY全栈开发",country=‘JP‘)if registriation_status: print("注册成功")else: print("too old to be a student.")Attention The function stops executing and returns the result as soon as it encount

needs involved are vastly different. L2 and L3 on the vehicle's automatic control ability, although not far away, but L3 allows automatic driving under limited conditions, and it needs to be able to judge the vast majority of the car's surrounding lanes, and at the same time replace the driver to make the various decisions in progress, and the decision-making process requires extremely large computational power behind it. Figure 丨 Mobileye before L2, because the main focus is on the visual comp

http://blog.itpub.net/23057064/viewspace-629236/ Nvidia graphics cards on the market are based on the Tesla architecture, divided into G80, G92, GT200 three series. The Tesla architecture is a processor array with the number of extendable places. Each GT200 GPU consists of 240 stream processors (streaming processor,sp), and each of the 8 stream processors is comprised of one stream multiprocessor (streaming

CUDA (Compute Unified Device Architecture), graphics manufacturer Nvidia launched the computing platform. Cuda™ is a general-purpose parallel computing architecture introduced by NVIDIA, which enables the GPU to solve complex computational problems. It contains the CUDA instruction set architecture (ISA) and the parallel computing engine within the GPU. The computing industry is developing "collaborative processing" from CPU-only "central processing" to CPU and GPU. To create this new paradigm

blockint *idata = g_idata + blockIdx.x*blockDim.x;int *odata = g_odata[blockIdx.x];// stop conditionif (isize == 2 tid == 0) {g_odata[blockIdx.x] = idata[0]+idata[1];return;}// nested invocationint istride = isize>>1;if(istride > 1 tid Compile and run. The following result is run on the Kepler K40: $ nvcc -arch=sm_35 -rdc=true nestedReduce.cu -o nestedReduce -lcudadevrt./nestedReduce starting reduction at device 0: Tesla K40carray 1048576 grid 204

GPU coarse-grained parallel implementation and testing for convolution operationsFirst, the basic idea of the algorithm:1. A thread in the GPU produces a convolution result, and how many blocks are used for the number of results;2. Matrix and convolution cores are stored in shared memory, and the convolution results are stored in global memory;3, support 10000 in any dimension of the two-dimensional matrix, convolution core support 16x16.4, support any number of images batch processing.Second, t

whether my efforts are made to contribute, or to return, whether they can be sustained, and the key to doing one thing well. When you are passionate about your contribution, you must have confidence in your return. What is equally important to the passion for contribution is the confidence in return, rather than ignoring it. Successful enterprises and individuals in history have not only made great contributions, but also made huge compensation accordingly, as well as film stars. Not everyone w

negative x-axis.Tilt the phone upward and the y-axis is negative.Tilt the phone downward and the y-axis is positive.The accelerometer is probably the most sophisticated MEMS product, with a wide range of accelerometer sensors on the market.The commonly used accelerometer in mobile phones is Bosch's BMA series, AMK 897X series, St's LIS3X series, etc.These sensors typically provide an acceleration measurement range from ±2g to ±16g with an I²C or SPI interface connected to the MCU with a data ac

(Java.lang.Math). Random () * 100.0}"/> Other Properties -Bean>BeanID= "Shapeguess"class= "Org.spring.samples.ShapeGuess"> Propertyname= "Initialshapeseed"value= "#{numberguess.randomnumber}"/> Other Properties -Bean>ExpressionParser parser = new Spelexpressionparser (); inventor Tesla = new inventor ("Nikola Tesla", "Serbian"); Tesla.setplaceofbirth (New Placeofbirth ("Smiljan")); Standardevaluationco

{ @Override public voidlogo () {system.out.print ("Mercedes"); }}classteslaextendscar{ @Override publicvoidlogo () { system.out.print ("Tesla"); }} Everything seems to be a perfect solution. Suddenly added a demand for a charge (change) requirement, when only Tesla had a charging method. However, if you use inheritance, adding the change method to the parent class requires the implementation of a useless m

right of the location parameter; The default parameter should usually be defined as an immutable type def test(x,y=2): print(x) print(y)test(1)test(1,3)test(1,y=1)4. Variable length parameters Variable length refers to the number of arguments is not fixed, and the actual parameters are defined by position and by the keyword, for the two forms of variable length, formal parameters corresponding to two solutions to the complete storage of them, respectively, *args,**kwargs

In the previous article, we queried the fabric network by executing node query.js, and returned 10 vehicles of information: #node Query.js The output from the command line is as follows: This is 10 cars. The black Tesla model owned by Adriana, the red Ford Mustang owned by Brad, was owned by the man named Pari violet Fiat Punto and so on. The ledger is based on key/value, and in this implementation, the key values are from CAR0 to CAR9. This will b

, why ah, the programmer can afford it.There is a question on the water and wood. "Why is it so low?" "User God reply" There is a place, called the programmer can not get to the place. ” Of course, programmers are not so keen on buying a house, the house price is the programmer's wife or programmer's mother buy high, not related to the programmer. What programmers love to buy. Nature is different. Others buy Land Rover to buy BMW, they buy Tesla. O

of AI and generate faster, more reliable answers.2) Learning AI (machine learning ai)Machine learning (ML) AI is the kind of artificial intelligence that can automatically drive your Tesla on a freeway. It is also at the forefront of computer science, but it is expected to have a great impact on everyday workplaces. Machine learning is to look for "patterns" in big data and then use these patterns to predict results without too much human explanation

data provided should not being included in the output. For this stage, theRequired output for the test file PEDESTRIANS-MELBCENT-P100.TSV (with a total of 98 data lines) is:s3:06/2009 28/30 days covered, average count = 24.8ks3:07/2009 31/31 days covered, average count = 26.7ks3:08/2009 31/31 days covered, average count = 26.7ks3:09/2009 8/30 days covered, average count = 24.4kwhere "K" means "thousands". See the LMS for the full output of associated