Extreme Data-Intensive Scientific Computing

Scientific computing increasingly involves massive data; in astronomy, observations and numerical simulations are on the verge of generating petabytes. This new, data-centric computing requires a new look at computing architectures and strategies. Using Amdahl´s law to characterize architectures and workloads, it´s possible to use existing commodity parts to build systems that approach an ideal Amdahl machine.