Nuclei: GPU-Accelerated Many-Core Network Coding

—While it is a well known result that network coding achieves optimal flow rates in multicast sessions, its potential for practical use has remained to be a question, due to its high computational complexity. Our previous work has attempted to design a hardware-accelerated and multi-threaded implementation of network coding to fully utilize multi-core CPUs, as well as SSE2 and AltiVec SIMD vector instructions on x86 and PowerPC processors. This paper represents another step forward, and presents the first attempt in the literature to maximize the performance of network coding by taking advantage of not only multi-core CPUs, but also potentially hundreds of computing cores in commodity off-the-shelf Graphics Processing Units (GPU). With GPU computing gaining momentum as a result of increased hardware capabilities and improved programmability, our work shows how the GPU, with a design involving thousands of lightweight threads, can boost network coding performance significantly. Man...

• Type: Conference
• Year: 2009
• Where: INFOCOM
• Authors: Hassan Shojania, Baochun Li, Xin Wang
• Keywords: Communications, INFOCOM 2009, Multi-core Cpus, Network Coding, Network Coding Achieves