ISBN-13: 9783639115154 / Angielski / Miękka / 2008 / 156 str.
This book presents memory hierarchy design and data access management methodology. First, memory hierarchy design and data allocation problem is discussed, followed by a compiler-driven approach to data compression for reducing memory space occupancy. Third, compiler supported loop-data optimization problem to improve locality of data accesses for a given application code is discussed. Since parallelization is a key concept in achieving the best performance, a constraint network based formulation has been discussed in the fourth chapter. In the last part, book discusses advanced techniques such as the memory optimization in a 3D architecture to minimize data access costs under temperature.
This book presents memory hierarchy design and data access management methodology. First, memory hierarchy design and data allocation problem is discussed, followed by a compiler-driven approach to data compression for reducing memory space occupancy. Third, compiler supported loop-data optimization problem to improve locality of data accesses for a given application code is discussed. Since parallelization is a key concept in achieving the best performance, a constraint network based formulation has been discussed in the fourth chapter. In the last part, book discusses advanced techniques such as the memory optimization in a 3D architecture to minimize data access costs under temperature.