The Tegra K1-powered NVIDIA Shield Tablet is here - available July 29 in the US! Pre-order here! For more information on the shield tablet, or go to shield.nvidia.com. http://youtu.be/VohrddwVQqg Those who are adventurous, Caonical has a dual-boot mode that will allow Ubuntu to run on tablets, and potentially other devices bringing full Linux and CUDA … [Read more...]
NVIDIA Shield 2 will be a tablet (with stylus) as well as a gaming device!
It's looks like it is true (and it can now be ordered), the K1-powered Shield 2 Gaming console will also be an 8" tablet! What a cool idea! This will be a CUDA/Gamers/Tablet/(cellphone?) honey of a device. (July 22: It's available now!). NVIDIA has created a tweet-based game "Ultimate Quest" in what is believed to be a promotion for the Shield 2. Click on the image below … [Read more...]
Part 1: Load-Balanced, Strong-Scaling Task-Based Parallelism on GPUs
Achieve a 7.4x speedup with 8 GPUs over the performance of a single GPU through the use of task-based parallelism and concurrent kernels! Traditional GPU programming typically views the GPU as a monolithic device that runs a single parallel kernel across the entire device. This approach is fantastic when one kernel can provide enough work to keep the GPU busy. The conundrum is … [Read more...]
Intel Knights Landing: Claimed 4x An NVIDIA K40 (on some applications)
Joe Curley (Director of Marketing in the Technical Computing Group at Intel Corporation) just completed his webinar on BrightTalk, "The Faster Path to Discovery: New Details on the Intel® Xeon Phi™ Product Family" that disclosed new details on the upcoming Knights Landing massively=parallel chip including a claimed 4x performance improvement over the NVIDIA K40 on some … [Read more...]
Combine C-Sharp With CUDA and OpenCL On Linux, iOS, Android and Windows
Google Protobufs (via protobuf-net) in combination with the click-together framework taught in my CUDA and OpenCL tutorials allows C# and .NET programmers to include Linux and Windows GPU and Intel Xeon Phi codes in their workflows. Mono The freely available opensource mono-project creates C# executables that can run unchanged on both Linux and Windows - just copy the … [Read more...]
Use a Single OpenCL Source Code to Compare FPGA and NVIDIA K1 Power and Performance
For many embedded applications power consumption is king. System On a Chip (SOC) designs such as the ARM-based Altera Cyclone V development board provides a Linux-based environment to program and run parallel applications on an FPGA using OpenCL much like the well-known NVIDIA Jetson development board. What a wonderful opportunity to compare the performance and power … [Read more...]
Try Quantum Computing in Your WebGL-enabled Browser
GPUs are wonderful for running energy minimization algorithms where a system relaxes to a low energy state to solve a problem. The 13 PF/s Titan Deep-learning teaching code is a compelling example of this ability. Similarly, Quantum Computing solves a problem (like RSA encryption) by having a quantum system relax to a low energy state. Google has created a WebGL Chrome … [Read more...]
NVIDIA’s Women Who CUDA Campaign – May 30, 2014 Deadline!
On May 8, 2014 NVIDIA launched the Women Who CUDA campaign to highlight the work of innovative women in the area of GPU computing. Winning entries in the CUDA Women survey (click here to enter) - that is open until May 30, 2014, will be published on the high-visibility, high-volume NVIDIA website. Tweets during the campaign will provide visibility in the GPU computing community … [Read more...]
Calling All Authors for an Intel Xeon Phi Gems Book – Rough Submissions Due May 29, 2014
All are invited to contribute to High Performance Parallelism Gems – Successful Approaches for Multicore and Many-core Programming (working title) a contribution-based book that will focus on practical techniques for Intel Xeon processor and Intel Xeon Phi coprocessor parallel computing. Submissions<http://lotsofcores.com/gems> are due by May 29, 2014 in order to … [Read more...]
The CUDA Thrust API Now Supports Streams and Concurrent Tasks
The CUDA Thrust API now supports streams and concurrent kernels through the use of a new API called Bulk created by Jared Hoberock at NVIDIA. The design of Bulk is intended to extend the parallel execution policies described in the evolving Technical Specification for Parallel Extensions for C++ N3960. Note that bulk is not part of the CUDA 6.0 distribution and must be … [Read more...]