Why Development Tools are More Important Now than Ever

Sanjiv leads the Intel team responsible for the success of software development tools for servers, and for software analysis tools and parallel runtime libraries for all computing segments. He joined Intel in 2000 as a parallel language, compiler, and tools developer and has worked over 20 years in the field of high-performance compilers, libraries, analysis tools, and parallel programming. Sanjiv is a founding member of the OpenMP* organization and served on its board of directors. He received his Bachelor’s and Master’s degrees in Computer Science and Engineering from the University of Michigan, and he holds 16 patents for parallel programming, and for parallel computation hardware and software analysis.

Henry is a senior principal engineer in the Intel Software and Services Group, Developer Products Division, and is the editor of The Parallel Universe, Intel’s quarterly magazine for software innovation. He first joined Intel in 2000 to help drive parallel computing inside and outside the company. He transferred to Intel Labs in 2010 to become the program manager for various research programs in academia, including the Universal Parallel Computing Research Centers at the University of California at Berkeley and the University of Illinois at Urbana-Champaign. Prior to joining Intel, Henry was Director of Scientific Computing at the U.S. Army Engineer Research and Development Center MSRC, a Department of Defense high-performance computing facility. Henry holds a B.S. in biochemistry from Louisiana State University, an M.S. in medical informatics from the Northwestern Feinberg School of Medicine, and a PhD in molecular genetics from the University of Alabama at Birmingham School of Medicine. He has published extensively in computational life science and high-performance computing. Henry recently rejoined Intel after spending four years working on a second PhD in information science at the University of Illinois at Urbana-Champaign, where he established an expertise in applied informatics and machine learning for problems in healthcare and chemical exposure.