David Patterson
Director of The Parallel Computing Research Laboratory and the Pardee Professor of Computer Science, U.C. Berkeley. Co-author of Computer Architecture: A Quantitative Approach
Book Recommendations:
Recommended by David Patterson
“For those interested in the GPU path to parallel enlightenment, this new book from David Kirk and Wen-mei Hwu is a godsend, as it introduces CUDA (tm), a C-like data parallel language, and Tesla(tm), the architecture of the current generation of NVIDIA GPUs. In addition to explaining the language and the architecture, they define the nature of data parallel problems that run well on the heterogeneous CPU-GPU hardware ... This book is a valuable addition to the recently reinvigorated parallel computing literature.” (from Amazon)
by David B. Kirk, Wen-mei W. Hwu·You?
by David B. Kirk, Wen-mei W. Hwu·You?
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and moreIncreased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelismTwo new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
Recommended by David Patterson
“This is a new 5th edition of a classic book by Michael Yapko, who is arguably the most active and prolific conventional writer in the field of clinical hypnosis. This is truly a breathtaking work on how to learn hypnosis and apply it to human suffering. While ‘introductory’ at some levels, it offers one of the best available discussions highlighting the complexity of the field. The scope of this volume, and the respect it shows for the great writers in the field, will be hard to replicate.” (from Amazon)
by Michael D Yapko, Michael D. Yapko·You?
by Michael D Yapko, Michael D. Yapko·You?
For nearly four decades, Trancework has been the definitive textbook for thousands of professionals undergoing training in the art and science of clinical hypnosis. Now in its 5th edition, this classic text continues its legacy of encouraging sound clinical practice based in established scientific research. This latest edition incorporates new studies and emerging topics within the field of hypnosis, including new chapters on depression and the construction of process-oriented interventions. Readers can expect to receive a comprehensive overview of current developments in the domain of hypnosis, an in-depth consideration of the practical and ethical issues associated with its use, and a greater appreciation for its many therapeutic applications. This thorough, engaging text equips professionals with the essential skills to change clients’ lives by using hypnosis to enhance treatment of both medical and psychological issues.
Recommended by David Patterson
“There is a great deal of interest in quantum computing today. What many would like is a book that explains quantum computing to people who already know how to program conventional computers. This book successfully fills that need.” (from Amazon)
by Robert Hundt·You?
by Robert Hundt·You?
This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. Over 25 fundamental algorithms are explained with full mathematical derivations and classical code for simulation, using an open-source code base developed from the ground up in Python and C++. After presenting the basics of quantum computing, the author focuses on algorithms and the infrastructure to simulate them efficiently, beginning with quantum teleportation, superdense coding, and Deutsch-Jozsa. Coverage of advanced algorithms includes the quantum supremacy experiment, quantum Fourier transform, phase estimation, Shor's algorithm, Grover's algorithm with derivatives, quantum random walks, and the Solovay–Kitaev algorithm for gate approximation. Quantum simulation is explored with the variational quantum eigensolver, quantum approximate optimization, and the Max-Cut and Subset-Sum algorithms. The book also discusses issues around programmer productivity, quantum noise, error correction, and challenges for quantum programming languages, compilers, and tools, with a final section on compiler techniques for transpilation.