Benedict R. Gaster is a software architect working on programming models for next-generation heterogeneous processors, particularly examining high-level abstractions for parallel programming on the emerging class of processors that contain both CPUs and accelerators such as GPUs. He has contributed extensively to the OpenCL's design and has represented AMD at the Khronos Group open standard consortium. He has a Ph.D. in computer science for his work on type systems for extensible records and variants.

Lee Howes has spent the past 2 years working at AMD and currently focuses on programming models for the future of heterogeneous computing. His interests lie in declaratively representing mappings of iteration domains to data and in communicating complicated architectural concepts and optimizations succinctly to a developer audience, both through programming model improvements and through education. He has a Ph.D. in computer science from Imperial College London for work in this area.

David Kaeli received a B.S. and Ph.D. in electrical engineering from Rutgers University and an M.S. in computer engineering from Syracuse University. He is Associate Dean of Undergraduate Programs in the College of Engineering and a Full Professor on the ECE faculty at Northeastern University, where he directs the Northeastern University Computer Architecture Research Laboratory (NUCAR). Prior to joining Northeastern in 1993, he spent 12 years at IBM, the last 7 at T. J. Watson Research Center, Yorktown Heights, NY. He has co-authored more than 200 critically reviewed publications. His research spans a range of areas, including microarchitecture to back-end compilers and software engineering. He leads a number of research projects in the area of GPU computing. He currently serves as the Chair of the IEEE Technical Committee on Computer Architecture. He is an IEEE Fellow and a member of the ACM.

Perhaad Mistry is a Ph.D. candidate at Northeastern University. He received a B.S. in electronics engineering from the University of Mumbai and an M.S. in computer engineering from Northeastern University. He is currently a member of the Northeastern University Computer Architecture Research Laboratory (NUCAR) and is advised by Dr. David Kaeli. He works on a variety of parallel computing projects. He has designed scalable data structures for the physics simulations for GPGPU platforms and has also implemented medical reconstruction algorithms for heterogeneous devices. His current research focuses on the design of profiling tools for heterogeneous computing. He is studying the potential of using standards such as OpenCL for building tools that simplify parallel programming and performance analysis across the variety of heterogeneous devices available today.

Dana Schaa received a B.S. in computer engineering from California Polytechnic State University, San Luis Obispo, and an M.S. in electrical and computer engineering from Northeastern University, where he is also currently a Ph.D. candidate. His research interests include parallel programming models and abstractions, particularly for GPU architectures. He has developed GPU-based implementations of several medical imaging research projects ranging from real-time visualization to image reconstruction in distributed, heterogeneous environments. He married his wonderful wife, Jenny, in 2010, and they live together in Boston with their charming cats.