A QoS-enabled packet scheduling algorithm for IPSec multi-accelerator based systems
Proceedings of the 2nd conference on Computing frontiers
An operating system architecture for network processors
Proceedings of the 2005 ACM symposium on Architecture for networking and communications systems
Network processor acceleration for a Linux* netfilter firewall
Proceedings of the 2005 ACM symposium on Architecture for networking and communications systems
High performance and scalable I/O virtualization via self-virtualized devices
Proceedings of the 16th international symposium on High performance distributed computing
Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
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Even in the face of increasing network bandwidth, there is a desire among service providers to improve network security, availability, and performance. These improvements require increasingly complex computations on network packets. Current networking platforms cannot keep up, leading to less than desired throughput or functionality. Network processors deliver high networking throughput, but not the complex processing capabilities required. High-performance general-purpose processors deliver the complex processing needed, but not the network throughput. Combination platforms that include high-performance general-purpose CPUs and network processors hold the promise of greatly increasing platform performance, enabling desired edge application improvements. This article presents Twin Cities, a heterogeneous multiprocessor research platform we have constructed from a standard IXP1240 platform, a high-volume Intel® Pentium® III processor platform, and custom hardware. This platform provides a high-performance path (high throughput, low latency) between the two processors and presents a shared memory model to the programmer. We motivate and describe the Twin Cities platform, discuss the applications it targets, and present performance measurements.