Essays about: "Högpresterande Beräkningar"

Showing result 1 - 5 of 11 essays containing the words Högpresterande Beräkningar.

1. 1. Enhancing Stock Management Efficiency at Excillum AB

   University essay from KTH/Produktionsutveckling

   Author : Clive Carvalho; [2023]
   Keywords : Safety Stock; Inventory Management; Stock Management; EOQ; Order Quantity; Reorder Point; Inventory Optimisation; Inventory control; MTO; Customer order time; Lead time; Demand; Säkerhetslager; Lagerhantering; Lagerhantering; EOQ; Orderkvantitet; Återbeställningspunkt; Lageroptimering; Lagerkontroll; MTO; Kundordertid; Ledtid; Efterfrågan;

   Abstract : This thesis work aims to improve the stock management system of Excillum AB, a Stockholm-based company that specializes in high-performance X-ray sources. The current stock management system has limitations, resulting in gaps when managing the inventory. READ MORE

3. 2. 3D Coating of Interface Materials for High-Performance RF Passive Devices

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Xiner Shen; [2023]
   Keywords : Ceramic coating; Dip coating; Radio frequency; Passive RF devices; Quality factor; Keramisk beläggning; Dip-beläggning; Radiofrekvens; Passiva RF-enheter; Kvalitetsfaktor;

   Abstract : The demand for high-performance Radio Frequency (RF) passive devices has been steadily increasing due to the growing complexity and sophistication of wireless communication systems. The Quality factor (Q-factor) is a key parameter for describing the signal losses and the energy efficiency of resonators. READ MORE

4. 3. Leveraging Posits for the Conjugate Gradient Linear Solver on an Application-Level RISC-V Core

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : David Mallasén Quintana; [2022]
   Keywords : Computer Arithmetic; Conjugate Gradient; Posit; IEEE-754; Floating Point; High-Performance Computing; RISC-V; Datoraritmetik; Konjugerad Gradient; Posit; IEEE-754; Flytande Punkt; Högpresterande Beräkningar; RISC-V;

   Abstract : Emerging floating-point arithmetics provide a way to optimize the execution of computationally-intensive algorithms. This is the case with scientific computational kernels such as the Conjugate Gradient (CG) linear solver. Exploring new arithmetics is of paramount importance to maximize the accuracy and timing performance of these algorithms. READ MORE

5. 4. 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)

   Author : Zheyun Wu; [2022]
   Keywords : 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;

   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

6. 5. AXI-PACK : Near-memory Bus Packing for Bandwidth-Efficient Irregular Workloads

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Chi Zhang; [2022]
   Keywords : 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.;

   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