In his book The End of Education, twentieth-century media ecologist Neil Postman argues that there is no surer way to bring education. We have abandoned the telos of education and reduced education to a technical method. He explains that there is no need to fear George Orwells vision of 1984, but rather to fear an older title of Aldous Huxleys Brave New World. For more than a half-century, mainstream American education has lacked a clear, transcendent purpose. Huxley feared that what we love will ruin us". Neil Postmans book Amusing Ourselves To Death is an excellent look at the world today (more accurately in 1985). His most famous (and controversial) was Amusing Ourselves to Death, a screed against television and how it turns everything into banal entertainment including education and news. In short, Orwell feared that what we hate will ruin us. Neil Postman (1931 2003) was an American critic and educator. In Brave New World, they are controlled by inflicting pleasure. In 1984, Huxley added, "people are controlled by inflicting pain. The books origins lay in a talk Postman gave to the Frankfurt Book Fair in 1984. As Huxley remarked in Brave New World Revisited, the civil libertarians and rationalists who are ever on the alert to oppose tyranny "failed to take into account man's almost infinite appetite for distractions." Amusing Ourselves to Death: Public Discourse in the Age of Show Business (1985) is a book by educator Neil Postman. The Effects of Cyberspace on Human Connection: Am I using this technology, or is it using me Postman discusses new media and the Faustian bargain of technological change in the context of the emergence of the Information Superhighway and the Internet. Huxley feared we would become a trivial culture, preoccupied with some equivalent of the feelies, the orgy porgy, and the centrifugal bumblepuppy. Orwell feared we would become a captive culture. Huxley feared the truth would be drowned in a sea of irrelevance. Orwell feared that the truth would be concealed from us. Huxley feared those who would give us so much that we would be reduced to passivity and egoism. Neil Postman was a University Professor, the Paulette Goddard Chair of Media Ecology, and the chair of the Department of Media, Culture, and Communication, all at New York University. Orwell feared those who would deprive us of information. What Huxley feared was that there would be no reason to ban a book, for there would be no one who wanted to read one. 4) to guide his thinking on the critique of the technology of writing and its current transformations as modern science and technology, and its condemnation by Thamus. ![]() “What Orwell feared were those who would ban books. Neil Postman begins his book Technopoly: The surrender of culture to technology with the Judgment of Thamus in order to elucidate several sound principles (p.
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The series is primarily set in the fictional seaside town of Storybrooke, Maine, in which the residents are actually fairy tale characters that were transported to the real world town and robbed of their memories by Regina, the Evil Queen ( Lana Parrilla), who used a powerful dark curse obtained from Rumplestiltskin ( Robert Carlyle). Star Jennifer Morrison told the Calgary Herald that it's a show about hope and positivity and connectivity, which "encourages people to believe in themselves and believe in the best versions of themselves and to have hope to have the life that they have." Ī spin-off series, Once Upon a Time in Wonderland, consisting of 13 episodes featuring the title character of the 1865 novel Alice's Adventures in Wonderland by Lewis Carroll, premiered on October 10, 2013, and concluded on April 3, 2014. Kitsis said: "We are guys who like to see the world as half-full, not half-empty", and it's about "seeing that among all the trials and tribulations of life, you can persevere and find light among the darkness" "it's that ability to think your life will get better". Horowitz told The Hollywood Reporter that they had a conscious purpose to "do a show that had optimism at its heart", as they "felt like there was so much darkness in the world". The core themes of the show are hope and optimism. Once Upon a Time is created by Lost and Tron: Legacy writers Edward Kitsis and Adam Horowitz. ![]() ![]() In the seventh and final season, the "real-world" portion of the story takes place in Seattle, Washington, in the fictitious neighborhood of "Hyperion Heights", with a new main narrative led by adult Henry ( Andrew J. The audience is shown the backstory of the town's people as fairy-tale characters, in conjunction with their unfolding stories in the "real-world". Henry discovers the other people of the town are fairy-tale characters. The "real-world" part of the story unfolds with the characters of Emma Swan ( Jennifer Morrison) and her 10-year-old son, Henry Mills ( Jared S. The action alternates between two main settings: a fantastical world where fairy tales happen and a fictional seaside town in Maine called Storybrooke. Once Upon a Time is an American fantasy adventure drama television series that aired for seven seasons on ABC from October 23, 2011, to May 18, 2018. ![]() The ring itself may be affixed to a solid surface or it may be attached to the strap on one end. The vertical part of the D-ring may be removable so it can be mounted at various points, though in most cases this part is fixed to the rest of the unit. It is utilized as a hooking device in most cases, and is sometimes attached to the end of a rope, chain, strap, or cable. For small children who have yet to learn how to tie shoes but still want to dress on their own, hook and loop fasteners are popular in shoe designs.Ī D-ring is a piece of hardware that may be metal or plastic, which is shaped like the letter D. It is much simpler to apply than other types of closures and fasteners, such as zippers, buttonholes, and hook and eyes. This type is convenient for fabric and garment treatment construction. ![]() It is also available in different strengths as well as with a variety of adhesive types, depending on the purpose the fastener is intended for.įor fabric applications, there are also sew-on hook and loop fasteners with no adhesive backing. This type of fastener can be made from a variety of materials including nylon, polyester, and high heat and fire resistant materials. Another type is the coin style, or small, circular pieces of hook and loop fasteners, which also has an adhesive backing. Sometimes, the paper on the adhesive side is pre-cut to make it easier to pull small parts away as needed. There are also rolls of hook and loop fasteners which can be cut to a customized length. It is also made in different lengths, widths, and shapes.Ī hook and loop fastener which comes in strips with an adhesive backing is the most popular type. It is available in various colors, but generally black, white, and beige are the most common colors found. ![]() This fastener is generally made of two strips, one with loops and one with hooks, that connect together to hold things. A hook and loop fastener is what most people commonly call Velcro, which is a brand name. ![]() Kyle Schwarber Replica Jersey presented by CP Rankin Roofing Experts. Toyota Bryce Harper 2022 NL Champions Replica Ring. 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Statistical Analysis Software Licence: GraphPad Prism Further information can be found in Writing G-code : swiping at start of print Equidistant line = Skirt Note that this straight prime line is not a standard option in a custom profile of Cura, so this was part of the Ender-3 Preset you imported or possibly you have copied a starting G-code that includes this prime line.Ī typical set of G-code lines to create a prime/purge/intro line is found in your start G-code and could look similar to:Īfter slicing your object, you will find such lines in the generated G-code file, but they are not displayed in the preview. 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If the printer is printing, it is instructed to do so by the G-code file unless you are printing through an external software program that has extra G-code to print before your print starts. ![]() The thread code is just the set of computations needed on the input data, in order to produce one output data point. Therefore, the total minimum number of threads that I must have is equal to the size of my output array. For example, taking an image and producing a blurred image would be a transformation.įor transformations, a common approach ("thread strategy") to writing a cuda kernel (the thread code) will be to make one unique thread responsible for each point in the output array. For this discussion, we will ignore reductions.Ī transformation is a category of computation where the output data set size (number of elements) is either "large" or "approximately the same" as the input data set size. For example, taking an image and finding the maximum pixel value would be a reduction. One approach to categorizing computation problems is to discuss transformations and reductions.Ī reduction is a category of problem which takes a large input data set size, and produces a small output data set size. PS: My question is not about optimising the code, but understanding how to distribute the threads and grid data over the device. So this is my issue: how do I not exceed the 1024 threads per block, whilst retaining the correct grid size of my data? That is of course, 8320 threads per block, which far exceeds the 1024 per block. Hence, my threadsPerBlock would be: dim3 threadsPerBlock(32,260) Y would have to be multiplied by 8.125 * 32 Implying that using the 32 minimum grid size for X, For example 800 weights / 5 SM, = 160 x's per SMīut I didn't know what to do from there on.įinally, I considered finding the input-weight ratio first: 6500/800 = 8.125 Then I considered calculating the grid threads by using the available SMs. What I have tried, is to calculate my 2D grid size, by dividing my data by 32 wrap size. Does the minimum grid size, regardless of all other parameters need to be at least 32, or a multiple of 32? Do I need at least 32 threads per block, or a grid size where the smallest number is 32?Īny pseudo-code, or explanation of how I should go about this, would be greatly appreciated.Or I need to deduce the number of blocks needed first?įinally, since my thread warp size is 32, I know my maximum threads per block is 1024, but because its a 2D grid, it would more likely be: dim3 threadPerBlock(X,Y) ĭue to the fact that my grid is not a square matrix, I need to calculate the X, Y threads per block in a different way? Does this imply that what I really need, is a 2D grid of 800,6500? As far as I understand, anything else will provide incorrect results?.Let us assume I have a weight vector of 800 items, and an input vector of 6500 items. I am trying to understand how I can deduce/compute the grid size, threads per block, and number of blocks. Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Maximum number of threads per block: 1024 Maximum number of threads per multiprocessor: 2048 ( 5) Multiprocessors, (192) CUDA Cores/MP: 960 CUDA Cores Total amount of global memory: 2047 MBytes I am ussing a GTX 660, which has: CUDA Capability Major/Minor version number: 3.0 I have to compute my threads per block as a 2D with unequal numbers of threads in the grid. I'd like to keep this consistent, and AFAIK using a 2D grid for Weight * Input calculations is reasonable. The reason why I've taken this approach is because it makes sense in ANN computation, when it comes to vector/matrix calculations. Int y = blockIdx.y * blockDim.y + threadIdx.y Int x = blockIdx.x * blockDim.x + threadIdx.x My data is not a square lattice (a matrix) as is often with most examples I've seen, it is instead two vectors producing a matrix, with unequal rows to columns: float x įloat * i_ptr = thrust::raw_pointer_cast( in_vec.data() ) įloat * w_ptr = thrust::raw_pointer_cast( w_vec.data() ) įloat * out_ptr = thrust::raw_pointer_cast( mtx_vec.data() ) Īnd the kernel: _global_ void prop_mtx( float * w, float * i, float * o, int s ) My intention is to try and calculate dynamically (rather than hardcoding values) for a feed-forward neural net library I am developing. Determining threads per block and block per grid.Let me start by saying that I've read carefully all similar questions on SO: |
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