Data parallelism for ray casting large scenes on a cpu-gpu cluster

Download
2008
Topcu, Tümer
In the last decade, computational power, memory bandwidth and programmability capabilities of graphics processing units (GPU) have rapidly evolved. Therefore, many researches have been performed to use GPUs in advanced graphics rendering. Because of its high degree of parallelism, ray tracing has been one of the rst algorithms studied on GPUs. However, the rendering of large scenes with ray tracing can easily exceed the GPU's memory capacity. The algorithm proposed in this work uses a data parallel approach where the scene is partitioned and assigned to CPU-GPU couples in a cluster to overcome this problem. Our algorithm focuses on ray casting which is a special case of ray tracing mainly used in visualization of volumetric data. CPUs are pretty e cient in ow control and branching while GPUs are very fast performing intense oating point operations. Using these facts, the GPUs in the cluster are assigned the task of performing ray casting while the CPUs are responsible for traversing the rays. In the end, we were able to visualize large scenes successfully by utilizing CPU-GPU couples e ectively and observed that the performance is highly dependent on the viewing angle as a result of load imbalance.

Suggestions

Automatic eye tracking and intermediate view reconstruction for 3D imaging systems
Bediz, Yusuf; Akar, Gözde; Department of Electrical and Electronics Engineering (2006)
In recent years, the utilization of 3D display systems became popular in many application areas. One of the most important issues in the utilization of these systems is to render the correct view to the observer based on his/her position. In this thesis, we propose and implement a single user view rendering system for autostereoscopic/stereoscopic displays. The system can easily be installed on a standard PC together with an autostereoscopic display or stereoscopic glasses (shutter, polarized, pulfrich, and...
Pipelined design approach to microprocessor architectures a partial implementation : mips pıpelined architecture on fpga
Altıniğneli, Muzaffer Can; Güran, Hasan; Department of Electrical and Electronics Engineering (2005)
This thesis demonstrate how pipelining in a RISC processor is achieved by implementing a subset of MIPS R2000 instructions on FPGA. Pipelining, which is one of the primary concepts to speed up a microprocessor is emphasized throughout this thesis. Pipelining is fundamentally invisible for high level programming language user and this work reveals the internals of microprocessor pipelining and the potential problems encountered while implementing pipelining. The comparative and quantitative flow of this thes...
Parallel implementation of the finite element method on graphics processors for the solution of incompressible flows
Göçmen, Mahmut Murat; Sert, Cüneyt; Department of Mechanical Engineering (2014)
In recent years clock speeds and memory bandwidths of Graphics Processing Units (GPUs) increased dramatically compared to CPUs. Also GPU vendors developed and freely released new programming tools to make scientific computing on GPUs easier. With these recent developments the use of GPUs for general purpose computing becomes a popular research field. Researchers previously demonstrated that use of GPUs may provide tens of times of speeds-ups compared to CPU solvers for CFD methods such as Smoothed Particle ...
A new approach for the scalable intrusion detection in high-speed networks
Şahin, Ümit Burak; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2007)
As the networks become faster and faster, the emerging requirement is to improve the performance of the Intrusion Detection and Prevention Systems (IDPS) to keep up with the increased network throughput. In high speed networks, it is very difficult for the IDPS to process all the packets. Since the throughput of IDPS is not improved as fast as the throughput of the switches and routers, it is necessary to develop new detection techniques other than traditional techniques. In this thesis we propose a rule-ba...
Massive crowd simulation with parallel processing
Yılmaz, Erdal; İşler, Veysi; Department of Information Systems (2010)
This thesis analyzes how parallel processing with Graphics Processing Unit (GPU) could be used for massive crowd simulation, not only in terms of rendering but also the computational power that is required for realistic simulation. The extreme population in massive crowd simulation introduces an extra computational load, which is quite difficult to meet by using Central Processing Unit (CPU) resources only. The thesis shows the specific methods and approaches that maximize the throughput of GPU parallel com...
Citation Formats
T. Topcu, “Data parallelism for ray casting large scenes on a cpu-gpu cluster,” M.S. - Master of Science, Middle East Technical University, 2008.