Parallel Computing for Enterprises in Julia

Learn about parallel computing capabilities in Julia through a comprehensive 59-minute lecture delivered by Prof. Alan Edelman, MIT Professor of Computer Science and Applied Mathematics, Co-Creator of Julia, and Co-Founder of Julia Computing. Explore essential parallel computing concepts including SIMD, multi-threading, multi-process and GPU programming while understanding the fundamental need for parallelism in modern computing. Gain insights from real-world success stories demonstrating Julia's powerful parallel processing capabilities, presented by the Director of MIT's Julia Lab who brings deep expertise in both the theoretical and practical applications of parallel computing.