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Malaysia Airlines Flight 370 (MH370/MAS370)^[a] was a scheduled international passenger flight that disappeared on Saturday, 8 March 2014, while flying from Kuala Lumpur International Airport near Kuala Lumpur, Malaysia to Beijing Capital International Airport in Beijing, China. Flight 370 last made voice contact with air traffic control at 01:19 MYT (17:19 UTC, 7 March) when it was over the South China Sea, less than an hour after takeoff, and the aircraft disappeared from air traffic controllers' radar screens at 01:21 MYT (17:21 UTC).^[2][3] Malaysian military radar continued to track Flight 370 as it deviated from its planned flight path and crossed the Malay Peninsula; Flight 370 left the range of Malaysian military radar at 02:15 MYT while over the Andaman Sea, 200 nautical miles (370 km; 230 mi) northwest of Penang in northwestern Malaysia.^[4] Neither the crew nor the aircraft's communication systems relayed a distress signal, indications of bad weather, or technical problems before the aircraft vanished.^[5] The aircraft, a Boeing 777-200ER, was carrying 12 Malaysian crew members and 227 passengers from 15 nations.^[6]

A multinational search effort began in the Gulf of Thailand and the South China Sea, where the flight's signal was lost on secondary surveillance radar, and was soon^[7][8] extended to the Strait of Malacca and Andaman Sea.^[9][10][11] Analysis of satellite communications between the aircraft and the Inmarsat satellite communications network concluded that the flight ended in the southern Indian Ocean.^[12][13][14] and the focus of the search shifted to the southern part of the Indian Ocean, west of Australia and within its concurrent aeronautical and maritime search and rescue regions; accordingly, Australia took charge of the search effort on 17 March and later established the Joint Agency Coordination Centre (JACC) to coordinate the multinational search effort for Flight 370.^[15] The current phase of the search is a comprehensive search of the seafloor, which began in October 2014, and is expected to take up to 12 months.^[16][17]

Despite being the largest and most expensive search in aviation history,^{[18][19][20][21]} there has been no confirmation of any flight debris,^[22] resulting in speculations about its disappearance. On 24 March 2014, the Malaysian government, noting that the final location determined by the satellite communication is far from any possible landing sites, concluded that "flight MH370 ended in the southern Indian Ocean."^{[12][13][14][23]}

At the time of its disappearance, and if the presumed loss of all lives aboard is confirmed, Flight 370 would be the deadliest aviation incident in the history of Malaysia Airlines and the deadliest involving a Boeing 777.^[24][25] Flight 370 was surpassed in both regards just 131 days later by the unrelated crash of another Malaysia Airlines Boeing 777—Flight 17—that was shot down over Ukraine on 17 July 2014, killing all 298 people aboard

Nvidia iray and GPUs Supercharge Jeff Patton's Designs for Mercedes Benz

22-Jun-2011

For a Mercedes Benz product visualization project, freelance computer graphics (CG) artist Jeff Patton leveraged the power of high-efficiency Nvidia iray rendering software and Nvidia Quadro and Tesla professional graphics processing units (GPUs) to supercharge both his artistry and efficiency. Jeff Patton is a prolific, self-taught, freelance CG artist who has created mechanical illustrations for major companies, including Honeywell, Delta Controls, and Johnson Controls, among others. He is also a recognized expert in Autodesk 3ds Max 3D software and Nvidia mental ray rendering software, as well as an active beta tester who has taught an Autodesk Master Class and writes tutorials on techniques for using both software solutions effectively. In early 2010, some photo-real vehicle renders that Patton had created caught the attention of Mercedes Benz USA (MBUSA), which approached him to develop images for its Web site and print advertising. He was given computer-aided design (CAD) data for each vehicle along with environmental backplates, and tasked with compositing CG vehicles into those backplates while accentuating the cars' curves via reflections and lighting. He knew that the images he created would need to be a blend of photorealism and studio imagery--cars that appear to be physically photographed, but which are touched by Patton's artistry in reflections and lighting and further refined by the talented staff at MBUSA to create the most appealing visual possible. When he started the project, Patton was using 3ds Max software with mental ray and the Chaos Group V-Ray rendering engine on a CPU. Given the large file sizes he was working with and the amount of rendering that the images required, his work was slow going, with renders taking approximately an hour per image. Patton believed that the high-efficiency Nvidia iray rendering software would be ideally suited for his Mercedes Benz product visualization project. As the first interactive, photo-realistic and physically correct rendering solution to leverage the power of Nvidia Quadro and Tesla professional graphics processing units (GPUs), the combination would supercharge both his artistry and efficiency. So he made the performance leap to iray and Nvidia GPU computational visualization, configuring a workstation with Nvidia Quadro 6000 and Tesla C2070 GPUs, both featuring 6GB of memory to handle the very high resolution 6K images Mercedes Benz required, along with the 5GB of model and scene data they were supplying. Patton says: "After I finished my first full Mercedes Benz project with the new Nvidia setup, I was stunned. Rendering out the images at 6K in the past took me about an hour per image using the CPU. With iray and Quadro, I was able to knock that down to eight minutes! It's a huge benefit to be able to turn things around that much faster." Since he began using iray with Nvidia Quadro 6000 and Tesla C2070 GPUs on the Mercedes Benz project, Patton's renders have been running up to 7.5X faster than they had on mental ray and V-Ray running on the Intel Core i7 960 3.2GHz CPU. In addition to the speed improvements achieved with Nvidia GPU acceleration, Patton also realized improved clarity and detail in his images thanks to the photo-realistic capabilities of Nvidia iray. "The glass, the headlights--you can see every detail," says Patton. "I wasn't able to get that before without using really high sampling rates in other programs, and even then I couldn't pull out all of the details I can see now. There was a huge increase in clarity and detail that iray was able to pull out." Nvidia iray also saves Patton time during the scene setup and render configuration phases of his workflow. "With iray I can just set my glossy material value to what I want and move on. I don't have to spend time configuring material and light sample values to balance grain and render speed or adjusting overall image sampling." Since all his image processing now takes place on the GPU, Patton can use the CPU for other tasks. "In so many ways, iray running on the Nvidia GPUs allows me to work faster and create higher quality images. I'm handling more images in less time, and I can do more things with that time I save--whether it's taking on more work or spending more time with my family. The GPUs have made such a dramatic impact on my work. It's such an impressive increase in both detail and speed. The Nvidia GPU hardware and iray are an amazing combination. I can't wait to see how much further they develop in the future."

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