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As quantum computing technology continues to develop, the need for research into novel quantum algorithms is growing. However, such algorithms cannot yet be reliably tested on actual quantum hardware, which is still limited in several ways, including qubit coherence times, connectivity, and available qubits. To facilitate the development of novel algorithms despite this, simulators on classical computing systems are used to verify the correctness of an algorithm, and study its behaviour under different error models. In general, this involves operating on a memory space that grows exponentially with the number of qubits. In this work, we introduce quantum circuit transformations that allow for the construction of parameterised circuits for quantum algorithms. The parameterised circuits are in an ideal form to be processed by quantum compilation tools, such that the circuit can be partially evaluated prior to simulation, and a smaller specialised circuit can be constructed by eliminating fixed input qubits. We show significant reduction in the number of qubits for various quantum arithmetic circuits. Divide-by-n-bits quantum integer dividers are used as an example demonstration. It is shown that the complexity reduces from 4 n + 2 to 3 n + 2 qubits in the specialised versions. For quantum algorithms involving divide-by-8 arithmetic operations, a reduction by 2 8 = 256 in required memory is achieved for classical simulation, reducing the memory required from 137 GB to 0.53 GB. [ABSTRACT FROM AUTHOR]

There is a large body of legacy scientific code in use today that could benefit from execution on accelerator devices like GPUs and FPGAs. Manual translation of such legacy code into device-specific parallel code requires significant manual effort and is a major obstacle to wider FPGA adoption. We are developing an automated optimizing compiler TyTra to overcome this obstacle. The TyTra flow aims to compile legacy Fortran code automatically for FPGA-based acceleration, while applying suitable optimizations. We present the flow with a focus on two key optimizations, automatic pipelining and vectorization. Our compiler frontend extracts patterns from legacy Fortran code that can be pipelined and vectorized. The backend first creates fine and coarse-grained pipelines and then automatically vectorizes both the memory access and the datapath based on a cost model, generating an OpenCL-HDL hybrid working solution for FPGA targets on the Amazon cloud. Our results show up to 4.2× performance improvement over baseline OpenCL code. [ABSTRACT FROM AUTHOR]

Interconnection networks play a significant role in efficient on-chip communication for multicore systems. This paper introduces a new interconnection topology called the Hierarchical Cross Connected Recursive network (HCCR) and a shortest path routing algorithm for the HCCR. Proposed topology offers a high degree of regularity, scalability, and symmetry with a reduced number of links and node degree. A unique address encoding scheme is proposed for hierarchical graphical representation of HCCR networks, and based on this scheme a shortest path routing algorithm is devised. The algorithm requires 5(k-1) time where k=log n 4 -2 and k>0, in worst case to determine the next node along the shortest path. [ABSTRACT FROM AUTHOR]

The scaling of semiconductor technologies is leading to processors with increasing numbers of cores. The adoption of Networks-on-Chip (NoC) in manycore systems requires a shift in focus from computation to communication, as communication is fast becoming the dominant factor in processor performance. In large manycore systems, performance is predicated on the locality of communication. In this work, we investigate the performance of three NoC topologies for systems with thousands of processor cores under two types of localised traffic. We present latency and throughput results comparing fat quadtree, concentrated mesh and mesh topologies under different degrees of localisation. Our results, based on the ITRS physical data for 2023, show that the type and degree of localisation of traffic significantly affects the NoC performance, and that scale-invariant topologies perform worse than flat topologies. [ABSTRACT FROM AUTHOR]

We propose an FPGA design for the relevancy computation part of a high-throughput real-time search application. The application matches terms in a stream of documents against a static profile, held in off-chip memory. We present a mathematical analysis of the throughput of the application and apply it to the problem of scaling the Bloom filter used to discard nonmatches. [ABSTRACT FROM AUTHOR]

Network on-Chips (NoC) have emerged as an attractive communication architecture to address the increasing demand for communication in performance-sensitive applications. Employing differentiated services is a widely used approach to support QoS (Quality of Service) by relatively prioritizing traffic in the networks employing connection-less communication mechanisms. In this paper we present an analytical evaluation of the average message latency for wormhole-routed interconnect architectures exploiting a traffic prioritization mechanism to achieve differentiated services-based QoS. To verify the validity of the model we apply the method to the Spidergon NoC and compare the model against the results obtained from a discrete-event simulator developed using OMNET++. [ABSTRACT FROM AUTHOR]

Abstract: The Spidergon Network-on-Chip (NoC) was proposed to address the demand for a fixed and optimized communication infrastructure for cost-effective multi-processor Systems-on-Chip (MPSoC) development. To deal with the increasing diversity in quality of service requirements of SoC applications, the performance of this architecture needs to be improved. Virtual channels have traditionally been employed to enhance the performance of the interconnect networks. In this paper, we present analytical models to evaluate the message latency and network throughput in the Spidergon NoC and investigate the effect of employing virtual channels. Results obtained through simulation experiments show that the model exhibits a good degree of accuracy in predicting average message latency under various working conditions. Moreover an FPGA implementation of the Spidergon has been developed to provide an accurate analysis of the cost of employing virtual channels in this architecture. [Copyright &y& Elsevier]