Mellanox Participating at GPU Technology Conference 2014

Shout out to anyone who happens to attend the GPU Technology Conference 2014! This conference is touted as the world’s biggest and most important GPU developer conference. Follow all the social conversation around the event using the hashtag #GTC2014. The conference will be held next week, March 24-27,2014 at the San Jose McEnery Convention Center in San Jose, CA.

This is the fourth year I am attending this event and I will be hanging out at the “Ask the Expert Table” at the GTC. Feel free to swing by and chat about any of your burning questions you may have on GPUDirect RDMA with Mellanox InfiniBand!

 

GPUDirect RDMA

 

 

S4894 – Hangout: GPUDirect

  • Ian Williams (Director Applied Engineer, NVIDIA )
  • Pak Lui (Senior Manager, Application Performance, Mellanox Technologies )

Connect with NVIDIA engineers, devtechs and invited experts and get answers to all your burning questions.

Session Level: All

Session Type: Special Event

Day: Monday, 03/24/2014

Time: 10:00 am – 11:50 am

Location: Concourse Pod C

Pak LuiPak Lui is the Applications Performance Manager at Mellanox Technologies, responsible for managing the application performance, application characterization, profiling and testing. His main focus is to optimize HPC applications on products, explore new technologies and solutions and their effect on real workloads. Pak holds a B.Sc. in Computer Systems Engineering and a M.Sc. in Computer Science from Boston University.

About Pak Lui

Pak Lui is the Applications Performance Manager at Mellanox Technologies, responsible for managing the application performance, application characterization, profiling and testing. His main focus is to optimize HPC applications on products, explore new technologies and solutions and their effect on real workloads. Pak has been working in the HPC industry for over 12 years. Prior to joining Mellanox Technologies, Pak worked as a Cluster Engineer, responsible for building and testing HPC cluster configurations from different OEMs and ISVs. Pak also worked at Sun Microsystems for over 7 years in their High Performance Computing (HPC) group. He worked as a Software Engineer on Sun’s own MPI implementation (Sun HPC ClusterTools) as well as Open MPI, and contributed code and performed scalability analysis with MPI applications on large clusters and SMPs. Pak holds a B.Sc. in Computer Systems Engineering and a M.Sc. in Computer Science from Boston University in the United States.