Essays about: "HPC computing"
Showing result 1 - 5 of 24 essays containing the words HPC computing.
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1. Modeling, Simulation, and Injection of Camera Images/Video to Automotive Embedded ECU : Image Injection Solution for Hardware-in-the-Loop Testing
University essay from Uppsala universitet/Signaler och systemAbstract : Testing, verification and validation of sensors, components and systems is vital in the early-stage development of new cars with computer-in-the-car architecture. This can be done with the help of the existing technique, hardware-in-the-loop (HIL) testing which, in the close loop testing case, consists of four main parts: Real-Time Simulation Platform, Sensor Simulation PC, Interface Unit (IU), and unit under test which is, for instance, a Vehicle Computing Unit (VCU). READ MORE
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2. Evaluation of FPGA-based High Performance Computing Platforms
University essay from Linköpings universitet/DatorteknikAbstract : High performance computing is a topic that has risen to the top in the era ofdigitalization, AI and automation. Therefore, the search for more cost and timeeffective ways to implement HPC work is always a subject extensively researched.One part of this is to have hardware that is capable to improve on these criteria. READ MORE
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3. An I/O-aware scheduler for containerized data-intensive HPC tasks in Kubernetes-based heterogeneous clusters
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cloud-native is a new computing paradigm that takes advantage of key characteristics of cloud computing, where applications are packaged as containers. The lifecycle of containerized applications is typically managed by container orchestration tools such as Kubernetes, the most popular container orchestration system that automates the containers’ deployment, maintenance, and scaling. READ MORE
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4. AXI-PACK : Near-memory Bus Packing for Bandwidth-Efficient Irregular Workloads
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : General propose processor (GPP) are demanded high performance in dataintensive applications, such as deep learning, high performance computation (HPC), where algorithm kernels like GEMM (general matrix-matrix multiply) and SPMV (sparse matrix-vector multiply) kernels are intensively used. The performance of these data-intensive applications are bounded with memory bandwidth, which is limited by computing & memory access coupling and memory wall effect. READ MORE
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5. Integrating SkePU's algorithmic skeletons with GPI on a cluster
University essay from Linköpings universitet/Programvara och systemAbstract : As processors' clock-speed flattened out in the early 2000s, multi-core processors became more prevalent and so did parallel programming. However this programming paradigm introduces additional complexities, and to combat this, the SkePU framework was created. READ MORE