{"id":887,"date":"2011-01-01T11:17:09","date_gmt":"2011-01-01T18:17:09","guid":{"rendered":"http:\/\/mcclanahoochie.com\/blog\/?post_type=portfolio&p=887"},"modified":"2023-06-10T10:32:21","modified_gmt":"2023-06-10T17:32:21","slug":"gtc-2010-presentation","status":"publish","type":"post","link":"https:\/\/mcclanahoochie.com\/blog\/2011\/01\/gtc-2010-presentation\/","title":{"rendered":"GTC 2010 Presentation"},"content":{"rendered":"

September 2010<\/h3>\n

\"\"<\/a><\/p>\n

I got an incredible<\/em> opportunity (at the last minute!) to give a short talk\u00a0at Nvidia’s GTC 2010<\/a> on what I learned about GPU matrix multiplication<\/a>, while at\u00a0AccelerEyes<\/a> over the summer!<\/p>\n

Watch\u00a0presentation here<\/a> (I’m 19 minutes in)!<\/em><\/p>\n

 <\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

September 2010 I got an incredible opportunity (at the last minute!) to give a short talk\u00a0at Nvidia’s GTC 2010 on what I learned about GPU matrix multiplication, while at\u00a0AccelerEyes over the summer! Watch\u00a0presentation here (I’m 19 minutes in)!    <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[91,110,112,103,100,126,101,29],"class_list":["post-887","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-arrayfire","tag-cuda","tag-demos","tag-gpgpu","tag-gpu","tag-matrix-multiplication","tag-programming","tag-projects"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/pZdXI-ej","jetpack-related-posts":[{"id":611,"url":"https:\/\/mcclanahoochie.com\/blog\/2010\/09\/gtc-2010-trip\/","url_meta":{"origin":887,"position":0},"title":"GTC 2010 Trip","author":"mcclanahoochie","date":"September 26, 2010","format":false,"excerpt":"I just got back from Nvidia's 2010 GPU Technology Conference in San Jose California. I had an amazing trip, and am thankful that I got to go, as it was my first visit to California as well as my first trade show attendance. [Side Note: The afternoon before the conference,\u2026","rel":"","context":"In \"arrayfire\"","block_context":{"text":"arrayfire","link":"https:\/\/mcclanahoochie.com\/blog\/tag\/arrayfire\/"},"img":{"alt_text":"Arriving at the 2010 GPU Tech Conference","src":"https:\/\/i0.wp.com\/mcclanahoochie.com\/blog\/wp-content\/uploads\/2010\/09\/2010-09-20_09-39-29_568-1024x577.jpg?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/mcclanahoochie.com\/blog\/wp-content\/uploads\/2010\/09\/2010-09-20_09-39-29_568-1024x577.jpg?resize=350%2C200 1x, https:\/\/i0.wp.com\/mcclanahoochie.com\/blog\/wp-content\/uploads\/2010\/09\/2010-09-20_09-39-29_568-1024x577.jpg?resize=525%2C300 1.5x"},"classes":[]},{"id":2230,"url":"https:\/\/mcclanahoochie.com\/blog\/2012\/05\/arrayfire-gtc-2012-presentations\/","url_meta":{"origin":887,"position":1},"title":"ArrayFire GTC 2012 Presentations","author":"mcclanahoochie","date":"May 25, 2012","format":false,"excerpt":"I got another incredible opportunity to give two introductory talks at Nvidia's 2012 GPU Technology Conference about AccelerEyes's two software products:\u00a0Jacket(MATLAB) and ArrayFire(C++) ! Jacket for Multidimensional Scaling in Genomics - \u00a0Video\u00a0 | \u00a0Slides ArrayFire Graphics: A Tutorial - \u00a0Video\u00a0 | \u00a0Slides \u00a0 Enjoy!","rel":"","context":"In \"arrayfire\"","block_context":{"text":"arrayfire","link":"https:\/\/mcclanahoochie.com\/blog\/tag\/arrayfire\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/mcclanahoochie.com\/blog\/wp-content\/uploads\/2012\/05\/DSC_0935-2-small-300x198.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":886,"url":"https:\/\/mcclanahoochie.com\/blog\/2011\/01\/mtimes-gpu-matrix-multiplication\/","url_meta":{"origin":887,"position":2},"title":"MTIMES – GPU Matrix Multiplication","author":"mcclanahoochie","date":"January 1, 2011","format":false,"excerpt":"July 2010 OK, it's not really a project, but I did learn a lot about GPU matrix multiplication over the summer, working\u00a0at AccelerEyes. I\u00a0re-worked the back-end CUDA code for\u00a0the MTIMES Jacket function. I also modified it to accelerate SUM, MIN, and\u00a0MAX. Checkout my MTIMES wiki page!","rel":"","context":"In \"arrayfire\"","block_context":{"text":"arrayfire","link":"https:\/\/mcclanahoochie.com\/blog\/tag\/arrayfire\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/mcclanahoochie.com\/blog\/wp-content\/uploads\/2011\/01\/fermi_gflops_single.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":1731,"url":"https:\/\/mcclanahoochie.com\/blog\/2011\/08\/image-processing-with-libjacket-opencv\/","url_meta":{"origin":887,"position":3},"title":"Image processing with LibJacket + OpenCV","author":"mcclanahoochie","date":"August 24, 2011","format":false,"excerpt":"Update: one year later:\u00a0ArrayFire+OpenCV The OpenCV library is the de-facto standard for doing computer vision and image processing research projects. OpenCV includes several hundreds of computer vision algorithms, aimed for use in real-time vision applications. LibJacket is a matrix library built on CUDA. LibJacket offers hundreds of general matrix and\u2026","rel":"","context":"In \"arrayfire\"","block_context":{"text":"arrayfire","link":"https:\/\/mcclanahoochie.com\/blog\/tag\/arrayfire\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/mcclanahoochie.com\/blog\/wp-content\/uploads\/2011\/08\/Screen-shot-2011-08-24-at-2.42.52-PM-1024x640.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/mcclanahoochie.com\/blog\/wp-content\/uploads\/2011\/08\/Screen-shot-2011-08-24-at-2.42.52-PM-1024x640.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/mcclanahoochie.com\/blog\/wp-content\/uploads\/2011\/08\/Screen-shot-2011-08-24-at-2.42.52-PM-1024x640.png?resize=525%2C300 1.5x"},"classes":[]},{"id":1810,"url":"https:\/\/mcclanahoochie.com\/blog\/2011\/09\/opencv-vs-libjacket-gpu-sobel-filtering\/","url_meta":{"origin":887,"position":4},"title":"OpenCV vs. LibJacket: GPU Sobel Filtering","author":"mcclanahoochie","date":"September 24, 2011","format":false,"excerpt":"Update: LibJacket has been renamed to\u00a0\u00a0ArrayFire. In response to a comment on a previous post about integrating LibJacket into an OpenCV project, below is just a simple FYI performance comparison of OpenCV's GPU Sobel filter versus LibJacket's conv2\u00a0convolution\u00a0filter (with a sobel kernel)... This is an evolutionary post, so be sure\u2026","rel":"","context":"In \"arrayfire\"","block_context":{"text":"arrayfire","link":"https:\/\/mcclanahoochie.com\/blog\/tag\/arrayfire\/"},"img":{"alt_text":"Sobel filter: OpenCV GPU vs. LibJacket","src":"https:\/\/i0.wp.com\/mcclanahoochie.com\/blog\/wp-content\/uploads\/2011\/09\/cv-versus-jkt.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":1966,"url":"https:\/\/mcclanahoochie.com\/blog\/2011\/12\/computer-vision-learning-portfolio\/","url_meta":{"origin":887,"position":5},"title":"Computer Vision Learning Portfolio","author":"mcclanahoochie","date":"December 12, 2011","format":false,"excerpt":"This page constitutes my required\u00a0external\u00a0learning portfolio for CS 7495, Computer Vision, taken in Fall 2011. In it, I discuss what I have learned throughout the course, my activities and findings, how I think I did, and what impact it had on me. About me I am a coffee fanatic that\u2026","rel":"","context":"In \"computer vision\"","block_context":{"text":"computer vision","link":"https:\/\/mcclanahoochie.com\/blog\/tag\/computer-vision\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/mcclanahoochie.com\/blog\/wp-content\/uploads\/2011\/12\/chris-raffertys-2-150x150.jpg?resize=350%2C200","width":350,"height":200},"classes":[]}],"jetpack_likes_enabled":false,"_links":{"self":[{"href":"https:\/\/mcclanahoochie.com\/blog\/wp-json\/wp\/v2\/posts\/887","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mcclanahoochie.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mcclanahoochie.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mcclanahoochie.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mcclanahoochie.com\/blog\/wp-json\/wp\/v2\/comments?post=887"}],"version-history":[{"count":0,"href":"https:\/\/mcclanahoochie.com\/blog\/wp-json\/wp\/v2\/posts\/887\/revisions"}],"wp:attachment":[{"href":"https:\/\/mcclanahoochie.com\/blog\/wp-json\/wp\/v2\/media?parent=887"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mcclanahoochie.com\/blog\/wp-json\/wp\/v2\/categories?post=887"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mcclanahoochie.com\/blog\/wp-json\/wp\/v2\/tags?post=887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}