Characterization and optimization of network traffic in cortical simulation

Considering the great variety of obstacles the Exascale systems have to face in the next future, a deeper attention will be given in this thesis to the interconnect and the power consumption. The data movement challenge involves the whole hierarchical organization of components in HPC systems — i.e. registers, cache, memory, disks. Running scientific applications needs to provide the most effective methods of data transport among the levels of hierarchy. On current petaflop systems, memory access at all the levels is the limiting factor in almost all applications. This drives the requirement for an interconnect achieving adequate rates of data transfer, or throughput, and reducing time delays, or latency, between the levels. Power consumption is identified as the largest hardware research challenge. The annual power cost to operate the system would be above 2.5 B$ per year for an Exascale system using current technology. The research for alternative power-efficient computing device is mandatory for the procurement of the future HPC systems. In this thesis, a preliminary approach will be offered to the critical process of co-design. Co-desing is defined as the simultaneos design of both hardware and software, to implement a desired function. This process both integrates all components of the Exascale initiative and illuminates the trade-offs that must be made within this complex undertaking

Longitudinal and Transverse Wakefields Simulations and Studies in Dielectric-Coated Circular Waveguides

In recent years, there has been a growing interest and rapid experimental progress on the use of e.m. fields produced by electron beams passing through dielectric-lined structures and on the effects they might have on the drive and witness bunches. Short ultra-relativistic electron bunches can excite very intense wakefields, which provide an efficient acceleration through the dielectric wakefield accelerators (DWA) scheme with higher gradient than that in the conventional RF LINAC. These beams can also generate high power narrow band THz coherent Cherenkov radiation. These high gradient fields may create strong instabilities on the beam itself causing issues in plasma acceleration experiments (PWFA), plasma lensing experiments and in recent beam diagnostic applications. In this work we report the results of the simulations and studies of the wakefields generated by electron beams at different lengths and charges passing on and off axis in dielectric-coated circular waveguides. We also propose a semi-analytical method to calculate these high gradient fields without resorting to time consuming simulations

APEnet+: a 3D toroidal network enabling Petaflops scale Lattice QCD simulations on commodity clusters

Many scientific computations need multi-node parallelism for matching up both space (memory) and time (speed) ever-increasing requirements. The use of GPUs as accelerators introduces yet another level of complexity for the programmer and may potentially result in large overheads due to the complex memory hierarchy. Additionally, top-notch problems may easily employ more than a Petaflops of sustained computing power, requiring thousands of GPUs orchestrated with some parallel programming model. Here we describe APEnet+, the new generation of our interconnect, which scales up to tens of thousands of nodes with linear cost, thus improving the price/performance ratio on large clusters. The project target is the development of the Apelink+ host adapter featuring a low latency, high bandwidth direct network, state-of-the-art wire speeds on the links and a PCIe X8 gen2 host interface. It features hardware support for the RDMA programming model and experimental acceleration of GPU networking. A Linux kernel driver, a set of low-level RDMA APIs and an OpenMPI library driver are available, allowing for painless porting of standard applications. Finally, we give an insight of future work and intended developments