Programming on Parallel Machines; GPU, Multicore, Clusters and More

Why is this book different from all other parallel programming books? It is aimed more on the practical end of things, in that: 

• There is very little theoretical content, such as O() analysis, maximum theoretical speedup, PRAMs, directed acyclic graphs (DAGs) and so on. 
  
• Real code is featured throughout.
  
• We use the main parallel platforms—OpenMP, CUDA and MPI—rather than languages that at this stage are largely experimental or arcane. 
  
• The running performance themes—communications latency, memory/network contention, load balancing and so on—are interleaved throughout the book, discussed in the context of specific platforms or applications. 
  
• Considerable attention is paid to techniques for debugging.