Optimizing Communication for Massively Parallel Processing

The current trends in high performance computing show that large machines with tens of thousands of processors will soon be readily available. The IBM Bluegene-L machine with 128k processors (which is currently being deployed) is an important step in this direction. In this scenario, it is going to be a significant burden for the programmer to manually scale his applications. This task of scaling involves addressing issues like load-imbalance and communication overhead. In this thesis, we explore several communication optimizations to help parallel applications to easily scale on a large number of processors. We also present automatic runtime techniques to relieve the programmer from the burden of optimizing communication in his applications. This thesis explores processor virtualization to improve communication performance in applications. With processor virtualization, the computation is mapped to virtual processors (VPs). After one VP has finished computation and is waiting for responses to its messages, another VP can compute, thus overlapping communication with computation. This overlap is only effective if the processor overhead of the communication operation is a small fraction of the total communication time. Fortunately, with network interfaces having co-processors, this happens to be true and processor virtualization has a natural advantage on such interconnects. The communication optimizations we present in this thesis, are motivated by applications such as NAMD (a classical molecular dynamics application) and CPAIMD (a quantum chemistry application). Applications like NAMD and CPAIMD consume a fair share of the time available on supercomputers. So, improving their performance would be of great value. We have successfully scaled NAMD to 1TF of peak performance on 3000 processors of PSC Lemieux, using the techniques presented in this thesis. We study both point-to-point communication and collective communication (specifically all-to-all communication). On a large number of processors all-to-all communication can take several milli-seconds to finish. With synchronous collectives defined in MPI, the processor idles while the collective messages are in flight. Therefore, we demonstrate an asynchronous collective communication framework, to let the CPU compute while the all-to-all messages are in flight. We also show that the best strategy for all-to-all communication depends on the message size, number of processors and other dynamic parameters. This suggests that these parameters can be observed at runtime and used to choose the optimal strategy for all-to-all communication. In this thesis, we demonstrate adaptive strategy switching for all-to-all communication. The communication optimization framework presented in this thesis, has been designed to optimize communication in the context of processor virtualization and dynamic migrating objects. We present the streaming strategy to optimize fine grained object-to-object communication. In this thesis, we motivate the need for hardware collectives, as processor based collectives can be delayed by intermediate that processors busy with computation. We explore a next generation interconnect that supports collectives in the switching hardware. We show the performance gains of hardware collectives through synthetic benchmarks

Routing and Wavelength Assignment for Multicast Communication in Optical Network-on-Chip

An Optical Network-on-Chip (ONoC) is an emerging chip-level optical interconnection technology to realise high-performance and power-efficient inter-core communication for many-core processors. Within the field, multicast communication is one of the most important inter-core communication forms. It is not only widely used in parallel computing applications in Chip Multi-Processors (CMPs), but also common in emerging areas such as neuromorphic computing. While many studies have been conducted on designing ONoC architectures and routing schemes to support multicast communication, most existing solutions adopt the methods that were initially proposed for electrical interconnects. These solutions can neither fully take advantage of optical communication nor address the special requirements of an ONoC. Moreover, most of them focus only on the optimisation of one multicast, which limits the practical applications because real systems often have to handle multiple multicasts requested from various applications. Hence, this thesis will address the design of a high-performance communication scheme for multiple multicasts by taking into account the unique characteristics and constraints of an ONoC. This thesis studies the problem from a network-level perspective. The design methodology is to optimally route all multicasts requested simultaneously from the applications in an ONoC, with the objective of efficiently utilising available wavelengths. The novelty is to adopt multicast-splitting strategies, where a multicast can be split into several sub-multicasts according to the distribution of multicast nodes, in order to reduce the conflicts of different multicasts. As routing and wavelength assignment problem is an NP-hard problem, heuristic approaches that use the multicast-splitting strategy are proposed in this thesis. Specifically, three routing and wavelength assignment schemes for multiple multicasts in an ONoC are proposed for different problem domains. Firstly, PRWAMM, a Path-based Routing and Wavelength Assignment for Multiple Multicasts in an ONoC, is proposed. Due to the low manufacture complexity requirement of an ONoC, e.g., no splitters, path-based routing is studied in PRWAMM. Two wavelength-assignment strategies for multiple multicasts under path-based routing are proposed. One is an intramulticast wavelength assignment, which assigns wavelength(s) for one multicast. The other is an inter-multicast wavelength assignment, which assigns wavelength(s) for different multicasts, according to the distributions of multicasts. Simulation results show that PRWAMM can reduce the average number of wavelengths by 15% compared to other path-based schemes. Secondly, RWADMM, a Routing and Wavelength Assignment scheme for Distribution-based Multiple Multicasts in a 2D ONoC, is proposed. Because path-based routing lacks flexibility, it cannot reduce the link conflicts effectively. Hence, RWADMM is designed, based on the distribution of different multicasts, which includes two algorithms. One is an optimal routing and wavelength assignment algorithm for special distributions of multicast nodes. The other is a heuristic routing and wavelength assignment algorithm for random distributions of multicast nodes. Simulation results show that RWADMM can reduce the number of wavelengths by 21.85% on average, compared to the state-of-the-art solutions in a 2D ONoC. Thirdly, CRRWAMM, a Cluster-based Routing and Reusable Wavelength Assignment scheme for Multiple Multicasts in a 3D ONoC, is proposed. Because of the different architectures with a 2D ONoC (e.g., the layout of nodes, optical routers), the methods designed for a 2D ONoC cannot be simply extended to a 3D ONoC. In CRRWAMM, the distribution of multicast nodes in a mesh-based 3D ONoC is analysed first. Then, routing theorems for special instances are derived. Based on the theorems, a general routing scheme, which includes a cluster-based routing method and a reusable wavelength assignment method, is proposed. Simulation results show that CRRWAMM can reduce the number of wavelengths by 33.2% on average, compared to other schemes in a 3D ONoC. Overall, the three routing and wavelength assignment schemes can achieve high-performance multicast communication for multiple multicasts of their problem domains in an ONoC. They all have the advantages of a low routing complexity, a low wavelength requirement, and good scalability, compared to their counterparts, respectively. These methods make an ONoC a flexible high-performance computing platform to execute various parallel applications with different multicast requirements. As future work, I will investigate the power consumption of various routing schemes for multicasts. Using a multicast-splitting strategy may increase power consumption since it needs different wavelengths to send packets to different destinations for one multicast, though the reduction of wavelengths used in the schemes can also potentially decrease overall power consumption. Therefore, how to achieve the best trade-off between the total number of wavelengths used and the number of sub-multicasts in order to reduce power consumption will be interesting future research

High Peformance and Low Power On-Die Interconnect Fabrics.

Increasing power density with technology scaling has caused stagnation in operating frequency of modern day microprocessors. This has led designers to prefer multicore architectures over complex monolithic processors to keep up with the demand for rising computing throughput. Although processing units are getting smaller and simpler, the dramatic rise of their count on a single die has made the fabric that connects these processing units increasingly complex. These interconnect fabrics have become a bottleneck in improving overall system effciency. As a result, the design paradigm for multi-core chips is gradually shifting from a core-centric architecture towards an interconnect-centric architecture, where system efficiency is limited by the fabric rather than the processing ability of any individual core. This dissertation introduces three novel and synergistic circuit techniques to improve scalability of switch fabrics to make on-die integration of hundreds to thousands of cores feasible. 1) A matrix topology is proposed for designing a fully connected switch fabric that re-uses output buses for programming, and stores shue congurations at cross points. This significantly reduces routing congestion, lowers area/power, and improves per- formance. Silicon measurements demonstrate 47% energy savings in a 64-lane SIMD processor fabricated in 65nm CMOS over a conventional implementation. 2) A novel approach to handle high radix arbitration along with data routing is proposed. It optimally uses existing cross-bar interconnect resources without requiring any additional overhead. Bandwidth exceeding 2Tb/s is recorded in a test prototype fabricated in 65nm. 3) Building on the later, a new circuit topology to manage and update priority adaptively within the switch fabric without incurring additional delay or area is then proposed. Several assist circuit techniques, such as a thyristor based sense amplifier and self regenerating bi-directional repeaters are proposed for high speed energy efficient signaling to and from the switch fabric to improve overall routing efficiency. Using these techniques a 64 x 64 switch fabric with 128b data bus fabricated in 45nm achieves a throughput of 4.5Tb/s at single cycle latency while operating at 559MHz.Ph.D.Electrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/91506/1/sudhirks_1.pd

Automating Topology Aware Mapping for Supercomputers

Petascale machines with hundreds of thousands of cores are being built. These machines have varying interconnect topologies and large network diameters. Computation is cheap and communication on the network is becoming the bottleneck for scaling of parallel applications. Network contention, specifically, is becoming an increasingly important factor affecting overall performance. The broad goal of this dissertation is performance optimization of parallel applications through reduction of network contention. Most parallel applications have a certain communication topology. Mapping of tasks in a parallel application based on their communication graph, to the physical processors on a machine can potentially lead to performance improvements. Mapping of the communication graph for an application on to the interconnect topology of a machine while trying to localize communication is the research problem under consideration. The farther different messages travel on the network, greater is the chance of resource sharing between messages. This can create contention on the network for networks commonly used today. Evaluative studies in this dissertation show that on IBM Blue Gene and Cray XT machines, message latencies can be severely affected under contention. Realizing this fact, application developers have started paying attention to the mapping of tasks to physical processors to minimize contention. Placement of communicating tasks on nearby physical processors can minimize the distance traveled by messages and reduce the chances of contention. Performance improvements through topology aware placement for applications such as NAMD and OpenAtom are used to motivate this work. Building on these ideas, the dissertation proposes algorithms and techniques for automatic mapping of parallel applications to relieve the application developers of this burden. The effect of contention on message latencies is studied in depth to guide the design of mapping algorithms. The hop-bytes metric is proposed for the evaluation of mapping algorithms as a better metric than the previously used maximum dilation metric. The main focus of this dissertation is on developing topology aware mapping algorithms for parallel applications with regular and irregular communication patterns. The automatic mapping framework is a suite of such algorithms with capabilities to choose the best mapping for a problem with a given communication graph. The dissertation also briefly discusses completely distributed mapping techniques which will be imperative for machines of the future.published or submitted for publicationnot peer reviewe

High-Speed Message Routing Mechanisms for Massively Parallel Computers

現在超並列処理システム(MPP)は、伝統的なベクトルプロセッサやSIMDマシンの 牙城であった多くの分野に進出している。これらのシステムは、入手が容易な高性能 CPUの急激な進歩をうまく利用し、これらを数百～数千個接続して均質なマルチプ ロセッサのシステムとして構成したものである。しかし、これらのシステムの性能は、 現実の問題を解くときは必ずしも良くなく、常に公称の最高性能にははるかに及ばな いのが現状である。これらのシステムではプロセッサ間の通信はすべて相互結合網に よって行われるので、実現可能な最高性能を決める決定的な要素は相互結合網と、そ れに使われる通信機構である。 本論文ではMPPの相互結合網に使われる、効率的な通信機構を実現する2つの方法 を提案する。第1は「特急ルータ」の提案であり、これを相互結合網に用いた場合の 適合性を検註する。特急ルータは多重の単方向レジスタ挿入パスを利用して、時間 空間混合分割型ネットワークを実現するためのものである。異なる基数や次元数につ いて、特急ルータのスイッチ回路とバッファ回路の性能を予測するための正確なモデ ルを開発した。この結果、特急ルータは効率的な通信を行うためのすべての条件を満 足していることが確かめられた。さらに重要な点は、特急ルータはネットワークに故 障のある場合や、通信が錯綜する場合にも、低遅延時間、高スループットを損なわな い経路制御が行えることである。シミュレーションによって評価した特急ルータのの 性能は、これまでに発表された固定経路選択方式のルータより優れており、また他の 適応経路制御方式のルータに比べても、同程度あるいはそれを越えていることが確か められた。 第2は経路長制限方式のマルチキャスト通信の提案である。マルチキャスト通信は 多くの並列処理問題において速度向上に寄与する通信方式である。そこでワームホー ル通信方式において問題となるマルチキャスト通信におけるデッドロックの問題につ いて研究した。そしてこの問題を解決する方法として経路長制限方式のマルチキャス ト通信を提案し、この方式による通信性能をシミュレーションによって評価し、ユニ キャスト方式やマルチパス方式によるマルチキャスト通信の性能と比較した。その結 果、提案する経路長制限方式のマルチキャスト通信は、パリヤ同期のためのクラスタ へのマルチキャスト通信や、最近傍ノードへのマルチキャストや全ノードへの放送の 場合に、特に優れた解決法となることを明らかにした

High-Speed Message Routing Mechanisms for Massively Parallel Computers

現在超並列処理システム(MPP)は、伝統的なベクトルプロセッサやSIMDマシンの 牙城であった多くの分野に進出している。これらのシステムは、入手が容易な高性能 CPUの急激な進歩をうまく利用し、これらを数百～数千個接続して均質なマルチプ ロセッサのシステムとして構成したものである。しかし、これらのシステムの性能は、 現実の問題を解くときは必ずしも良くなく、常に公称の最高性能にははるかに及ばな いのが現状である。これらのシステムではプロセッサ間の通信はすべて相互結合網に よって行われるので、実現可能な最高性能を決める決定的な要素は相互結合網と、そ れに使われる通信機構である。 本論文ではMPPの相互結合網に使われる、効率的な通信機構を実現する2つの方法 を提案する。第1は「特急ルータ」の提案であり、これを相互結合網に用いた場合の 適合性を検註する。特急ルータは多重の単方向レジスタ挿入パスを利用して、時間 空間混合分割型ネットワークを実現するためのものである。異なる基数や次元数につ いて、特急ルータのスイッチ回路とバッファ回路の性能を予測するための正確なモデ ルを開発した。この結果、特急ルータは効率的な通信を行うためのすべての条件を満 足していることが確かめられた。さらに重要な点は、特急ルータはネットワークに故 障のある場合や、通信が錯綜する場合にも、低遅延時間、高スループットを損なわな い経路制御が行えることである。シミュレーションによって評価した特急ルータのの 性能は、これまでに発表された固定経路選択方式のルータより優れており、また他の 適応経路制御方式のルータに比べても、同程度あるいはそれを越えていることが確か められた。 第2は経路長制限方式のマルチキャスト通信の提案である。マルチキャスト通信は 多くの並列処理問題において速度向上に寄与する通信方式である。そこでワームホー ル通信方式において問題となるマルチキャスト通信におけるデッドロックの問題につ いて研究した。そしてこの問題を解決する方法として経路長制限方式のマルチキャス ト通信を提案し、この方式による通信性能をシミュレーションによって評価し、ユニ キャスト方式やマルチパス方式によるマルチキャスト通信の性能と比較した。その結 果、提案する経路長制限方式のマルチキャスト通信は、パリヤ同期のためのクラスタ へのマルチキャスト通信や、最近傍ノードへのマルチキャストや全ノードへの放送の 場合に、特に優れた解決法となることを明らかにした

Efficient Multicast Algorithms for Mesh and Torus Networks

With the increasing popularity of multicomputers, efficient way of communication within its processors has become a popular area of research. Multicomputers refer to a computer system that has multiple processors, they have high computational power and they can perform multiple tasks concurrently. Mesh and Torus are some of the commonly used network topologies in building multicomputer systems. Their performance highly depends on the underlying network communication such as multicast. Multicast is a communication method in which a message is sent from a source node to a certain number of destinations. Two major parameters used to evaluate multicast are time that a multicast process takes to deliver the message to all destinations and traffic that indicates the number of links used for this process. Research indicates that in general, it is NP- complete to find an optimal multicasting algorithm which is efficient on both time and traffic. This thesis suggests two new algorithms to achieve multicast in mesh and torus networks. Extensive simulations of these algorithms show that in practice they perform better than existing ones

Hardware Support for Efficient Packet Processing

Scalability is the key ingredient to further increase the performance of today’s supercomputers. As other approaches like frequency scaling reach their limits, parallelization is the only feasible way to further improve the performance. The time required for communication needs to be kept as small as possible to increase the scalability, in order to be able to further parallelize such systems. In the first part of this thesis ways to reduce the inflicted latency in packet based interconnection networks are analyzed and several new architectural solutions are proposed to solve these issues. These solutions have been tested and proven in a field programmable gate array (FPGA) environment. In addition, a hardware (HW) structure is presented that enables low latency packet processing for financial markets. The second part and the main contribution of this thesis is the newly designed crossbar architecture. It introduces a novel way to integrate the ability to multicast in a crossbar design. Furthermore, an efficient implementation of adaptive routing to reduce the congestion vulnerability in packet based interconnection networks is shown. The low latency of the design is demonstrated through simulation and its scalability is proven with synthesis results. The third part concentrates on the improvements and modifications made to EXTOLL, a high performance interconnection network specifically designed for low latency and high throughput applications. Contributions are modules enabling an efficient integration of multiple host interfaces as well as the integration of the on-chip interconnect. Additionally, some of the already existing functionality has been revised and improved to reach better performance and a lower latency. Micro-benchmark results are presented to underline the contribution of the made modifications

Exploring Adaptive Implementation of On-Chip Networks

As technology geometries have shrunk to the deep submicron regime, the communication delay and power consumption of global interconnections in high performance Multi- Processor Systems-on-Chip (MPSoCs) are becoming a major bottleneck. The Network-on- Chip (NoC) architecture paradigm, based on a modular packet-switched mechanism, can address many of the on-chip communication issues such as performance limitations of long interconnects and integration of large number of Processing Elements (PEs) on a chip. The choice of routing protocol and NoC structure can have a significant impact on performance and power consumption in on-chip networks. In addition, building a high performance, area and energy efficient on-chip network for multicore architectures requires a novel on-chip router allowing a larger network to be integrated on a single die with reduced power consumption. On top of that, network interfaces are employed to decouple computation resources from communication resources, to provide the synchronization between them, and to achieve backward compatibility with existing IP cores. Three adaptive routing algorithms are presented as a part of this thesis. The first presented routing protocol is a congestion-aware adaptive routing algorithm for 2D mesh NoCs which does not support multicast (one-to-many) traffic while the other two protocols are adaptive routing models supporting both unicast (one-to-one) and multicast traffic. A streamlined on-chip router architecture is also presented for avoiding congested areas in 2D mesh NoCs via employing efficient input and output selection. The output selection utilizes an adaptive routing algorithm based on the congestion condition of neighboring routers while the input selection allows packets to be serviced from each input port according to its congestion level. Moreover, in order to increase memory parallelism and bring compatibility with existing IP cores in network-based multiprocessor architectures, adaptive network interface architectures are presented to use multiple SDRAMs which can be accessed simultaneously. In addition, a smart memory controller is integrated in the adaptive network interface to improve the memory utilization and reduce both memory and network latencies. Three Dimensional Integrated Circuits (3D ICs) have been emerging as a viable candidate to achieve better performance and package density as compared to traditional 2D ICs. In addition, combining the benefits of 3D IC and NoC schemes provides a significant performance gain for 3D architectures. In recent years, inter-layer communication across multiple stacked layers (vertical channel) has attracted a lot of interest. In this thesis, a novel adaptive pipeline bus structure is proposed for inter-layer communication to improve the performance by reducing the delay and complexity of traditional bus arbitration. In addition, two mesh-based topologies for 3D architectures are also introduced to mitigate the inter-layer footprint and power dissipation on each layer with a small performance penalty.Siirretty Doriast