Sökning: "High-performance computing HPC"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden High-performance computing HPC.

1. 1. Evaluation of FPGA-based High Performance Computing Platforms

   Master-uppsats, Linköpings universitet/Datorteknik

   Författare :Martin Frick-Lundgren; [2023]
   Nyckelord :FPGA; High performance computing; BUDE; GEMM; CPU; GPU;

   Sammanfattning : 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. LÄS MER

3. 2. An I/O-aware scheduler for containerized data-intensive HPC tasks in Kubernetes-based heterogeneous clusters

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Zheyun Wu; [2022]
   Nyckelord :Cloud-native; Containers; Kubernetes; High-performance computing HPC ; Data-intensive computing; Task scheduling; Heterogeneous systems; Cloud-native; Containrar; Kubernetes; Högpresterande datoranvändning HPC ; Dataintensiv datoranvändning; Uppgiftsschemaläggning; Heterogena system;

   Sammanfattning : 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. LÄS MER

4. 3. AXI-PACK : Near-memory Bus Packing for Bandwidth-Efficient Irregular Workloads

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Chi Zhang; [2022]
   Nyckelord :General propose processor; on-chip bus protocol; irregular memory access; ASIC digital circuit design.; Generellt förslag på processor; on-chip-bussprotokoll; oregelbunden minnesåtkomst; digital ASIC-kretsdesign.;

   Sammanfattning : 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. LÄS MER

5. 4. A systematic performance study of the parallel programming framework SkePU 3 using HPC-benchmarks

   Master-uppsats, Linköpings universitet/Programvara och system

   Författare :Erik Tedhamre; [2022]
   Nyckelord :;

   Sammanfattning : With hardware performance no longer following Moore’s law, software optimization becomes more important. In this paper, we discuss parallel programming, which is one way to optimize software. However, writing parallel code is considered more difficult than writing sequential code. LÄS MER

7. 5. Development of Stockham Fast Fourier Transform using Data-Centric Parallel Programming

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Gabriel Bengtsson; [2020]
   Nyckelord :;

   Sammanfattning : Writing efficient scientific applications for modern High Performance Computing (HPC) systems has become much harder during the last years due to the rise of heterogeneous computer architectures. The inclusion of hardware accelerators has caused an increase in the number of required technologies to reach high performance, a change that has programming these systems outside the skill-set of a domain scientist. LÄS MER