AccelerEyes is Hiring at GTC 2012

by melonakos on May 15, 2012

in Announcements,Events

Do you want to code GPUs daily?  Do you want to build software that actually gets used by real people, solving real problems?  Do you want to join the whirlwind of a startup where you own projects and determine success or failure?

Then come work at AccelerEyes.  AccelerEyes is hiring for 3 positions:  Inside Salespersons, Fulltime Engineers, and Remote Contract Developers.

Checkout our Careers page or swing by our booth at GTC for more info.

{ 0 comments }

Top 10 List at GTC 2012

by melonakos on May 15, 2012

in Announcements,Events

It’s going to be hard to sleep tonight.  So much GPU goodness awaits the coming 3 days of the GPU Technology Conference.  Here are my top 10 things to do at GTC 2012:

Sessions to Attend

#1:  S0287 – Jacket for Multidimensional Scaling in Genomics – This is a great opportunity to learn about accelerating MATLAB® on the GPU.  Come learn why thousands of scientists, engineers, and analysts are using Jacket to do more with less coding hassle.
(Day: Tuesday, 05/15; Time: 5:30 pm – 5:55 pm; Location: Room K)

#2:  S0415 – An Accelerated Weeks Method for Numerical Laplace Transform Inversion - Learn how the researchers have been able to utilize Jacket in MATLAB® to more efficiently and robustly implement the Weeks method.
(Day: Wednesday, 05/16; Time: 9:30 am – 9:55 am; Location: Marriott Ballroom 3)

#3:  S0325 – ArrayFire Graphics: A Tutorial – Come learn about how ArrayFire will complement your GPU coding projects.
(Day: Wednesday, 05/16; Time: 10:00 am – 10:25 am; Location: Room A3)

#4:  S0133 – Improving Mars Rover Image Compression Via GPUs And Genetic Algorithms - By using MATLAB® and Jacket to perform 2D convolution on the GPU, we have greatly reduced the total computation time needed.
(Day: Thursday, 05/17; Time: 9:00 am – 9:25 am; Location: Room A3)

Visit the AccelerEyes’ Booth

#5:  AccelerEyes – Come see how Jacket compares to the R2012a Parallel Computing Toolbox™ (Hint: Jacket is >2X faster).  Come see how ArrayFire complements other GPU development efforts, including raw CUDA/OpenCL development, OpenACC, and other GPU libraries like Thrust.

Watch & Meet Jen-Hsun Huang

#6:  Jen-Hsun’s keynote is always a treat.  He is a dynamic speaker and delivers well-executed keynotes, with plenty of eye-candy demos as well as nuggets of exciting new GPU news.  He is also surprisingly available during the rest of the conference.  He walks the show floor and attends the after parties.  If you hang out, you might just get the opportunity to meet him in person.

Get a GPU Coding Job

#7:  AccelerEyes is hiring!  Come to our booth to meet us and get a leg up on other people that don’t get to meet us in person.

Meetup with other GPU Developers

#8:  GTC is a great place to connect with other GPU developers working on similar problems.  Be friendly and talk to people at the show.  It’s a great place to build mutually beneficial relationships that catalyze GPU development projects.

Show Off

#9:  GTC is a great place to show off your latest GPU projects.  If you have something cool you’ve developed, bring it by the AccelerEyes booth.  We’d love to see it and chat about your GPU work together.

Stay in Touch

#10:  Be sure to keep in touch after the show.  Follow-up on discussions.  Connect on Twitter, Facebook, or GPU Software blogs to stay tuned with the constantly evolving landscape of GPU computing software.

We look forward to seeing you at GTC 2012!

{ 0 comments }

Benchmarking the new Kepler (GTX 680)

April 26, 2012

NVIDIA has launched their next generation GPU based on their Kepler Architecture. They followed it up with a rather quick update to their CUDA toolkit. Considering that we have access to 3 generations of their GTX cards (480, 580 and 680), we thought we would show case how the performance has changed over the generations. [...]

Read the full article →

AccelerEyes Webinar – ArrayFire for Defense and Intelligence Functions

April 19, 2012

In case you missed it, we recently held a webinar on the ArrayFire GPU Computing Library and its applications to Defense and Intelligence functions. Defense projects often have hard deadlines and definite speed targets, and ArrayFire is a fast and easy-to-use choice for these applications. This webinar was part of an ongoing series of webinars [...]

Read the full article →

No Free Lunch for GPU Compiler Directives

April 11, 2012

Last week, Steve Scott at NVIDIA put up a viral post entitled, “No Free Lunch for Intel MIC (or GPU’s).”  It was a great read and a big hit in technical computing circles. The centrepiece of Scott’s piece was to say that there are no magic compilers.  GPUs don’t have them, and neither will MIC.  No compiler will [...]

Read the full article →

Jacket v2.1 Now Available

April 4, 2012

Optimization Library, Sparse Functionality, Graphics Library Improvements, CUDA 4.1 Enhancements, and much more… AccelerEyes announces the release of Jacket v2.1, adding GPU computing capabilities for use with MATLAB®. Jacket v2.1 delivers even more speed through a host of new improvements, maximizing GPU device performance and utilization.. Notable new features include an Optimization Library and additional functions to [...]

Read the full article →

12,288 CUDA Cores in One Computer

March 22, 2012

Kepler is here.  And it’s fantastic! The news came out today that the first Kepler GPU, the GeForce GTX 680, has been launched.  A single GPU has 1,536 CUDA Cores.  This means that those high-end workstations with 8 PCIe slots will be able to pack 12,288 CUDA cores into a single computer.  That’s some serious computational power. [...]

Read the full article →

AccelerEyes Webinar – Jacket for Financial Computing Applications

March 19, 2012

In case you missed it, we recently held a webinar on how to accelerate financial computing applications using Jacket.  The performance advantages brought to financial computing algorithms through Jacket and GPUs represents the best way to accelerate MATLAB® code. This webinar was part of an ongoing series of webinars that will help you learn more about [...]

Read the full article →

ArrayFire Pro : Features and Scalability

March 14, 2012

ArrayFire is a fast GPU library that off-loads compute intensive tasks onto many-core GPUs, thereby reducing application runtime and accelerating it many times. ArrayFire is built on top of NVIDIA CUDA software stack which is currently the best and most stable GPU Software Development Kit available for GPU-based computing. ArrayFire comes with a huge set [...]

Read the full article →

GPU Computing with Jacket in Automated Trader

February 28, 2012

The Q1 2012 issue of Automated Trader contains an excellent “Mashup!” piece reviewing software for algorithmic trading.  The article provides a wonderful glimpse into the 1-2 month adventure of Andy Webb, Automated Trader’s Founder, and Wrecking Crew building a fast trading platform from several technologies.  We heartily recommend that those of you in financial computing go [...]

Read the full article →