Programming Massively Parallel Processors A Hands-on Approach Third Edition shows both student & professional alike the basic concepts of parallel programming & GPU architecture exploring in detail various techniques for constructing parallel programs Case studies demonstrate the development process detailing computational thinking & ending with effective & efficient parallel programs Topics of performance floating-point format parallel patterns & dynamic parallelism are covered in-depth For this new edition the authors have updated their coverage of CUDA including coverage of newer libraries such as Cu DNN moved content that has become less important to appendices added two new chapters on parallel patterns & updated case studies to reflect current industry practices