Gpu scheduling - PowerPoint PPT Presentation


Enhancing Data Reception Performance with GPU Acceleration in CCSDS 131.2-B Protocol

Explore the utilization of Graphics Processing Unit (GPU) accelerators for high-performance data reception in a Software Defined Radio (SDR) system following the CCSDS 131.2-B protocol. The research, presented at the EDHPC 2023 Conference, focuses on implementing a state-of-the-art GP-GPU receiver t

0 views • 33 slides


Understanding Linux Process Scheduling and Priorities

Delve into the intricacies of process scheduling in Linux systems, covering topics such as task prioritization, process states, scheduler decisions, and important scheduling scenarios. Learn about traditional scheduling concerns like throughput and latency, as well as different types of workloads su

1 views • 19 slides



Understanding Scheduling Terminology and Concepts in MyEdBC

Explore the key terminology and concepts related to scheduling in MyEdBC, including the Build view, scenarios, flat and rotated schedules, patterns, and base terms. Get insights into setting up scheduling structures and preferences, as well as managing course requests and staff information. Enhance

1 views • 13 slides


Parallel Implementation of Multivariate Empirical Mode Decomposition on GPU

Empirical Mode Decomposition (EMD) is a signal processing technique used for separating different oscillation modes in a time series signal. This paper explores the parallel implementation of Multivariate Empirical Mode Decomposition (MEMD) on GPU, discussing numerical steps, implementation details,

1 views • 15 slides


GPU Scheduling Strategies: Maximizing Performance with Cache-Conscious Wavefront Scheduling

Explore GPU scheduling strategies including Loose Round Robin (LRR) for maximizing performance by efficiently managing warps, Cache-Conscious Wavefront Scheduling for improved cache utilization, and Greedy-then-oldest (GTO) scheduling to enhance cache locality. Learn how these techniques optimize GP

0 views • 21 slides


Understanding Modern GPU Computing: A Historical Overview

Delve into the fascinating history of Graphic Processing Units (GPUs), from the era of CPU-dominated graphics computation to the introduction of 3D accelerator cards, and the evolution of GPU architectures like NVIDIA Volta-based GV100. Explore the peak performance comparison between CPUs and GPUs,

5 views • 20 slides


Time-Aware Scheduling Capabilities in IEEE 802.11be

Describing necessary enhancements to enable Time-Aware Scheduling in IEEE 802.11be for time-sensitive applications. The focus is on aligning with the 802.1Qbv standard to address latency, jitter, and reliability issues, presenting a structured outline of requirements and configurations essential for

0 views • 24 slides


Understanding Scheduling Algorithms in Operating Systems

Exploring the world of scheduling in operating systems, this content covers various aspects such as introduction to scheduling, process behavior, bursts of CPU usage, CPU-bound and I/O-bound processes, when to schedule processes, and the differences between non-preemptive and preemptive scheduling a

0 views • 34 slides


Redesigning the GPU Memory Hierarchy for Multi-Application Concurrency

This presentation delves into the innovative reimagining of GPU memory hierarchy to accommodate multiple applications concurrently. It explores the challenges of GPU sharing with address translation, high-latency page walks, and inefficient caching, offering insights into a translation-aware memory

1 views • 15 slides


Understanding CPU Scheduling in Operating Systems

In a single-processor system, processes take turns running on the CPU. The goal of multiprogramming is to keep the CPU busy at all times. CPU scheduling relies on the alternating CPU and I/O burst cycles of processes. The CPU scheduler selects processes from the ready queue to execute when the CPU i

0 views • 26 slides


Improving GPGPU Performance with Cooperative Thread Array Scheduling Techniques

Limited DRAM bandwidth poses a critical bottleneck in GPU performance, necessitating a comprehensive scheduling policy to reduce cache miss rates, enhance DRAM bandwidth, and improve latency hiding for GPUs. The CTA-aware scheduling techniques presented address these challenges by optimizing resourc

0 views • 33 slides


Simplifying Residency Shift Scheduling with Mathematical Programming Techniques

This project, led by Professor Amy Cohn and William Pozehl, aims to demonstrate how mathematical programming techniques can simplify the complex task of residency shift scheduling. The Residency Shift Scheduling Game highlights the challenges of manual scheduling and the ease of using mathematical p

1 views • 37 slides


Understanding Disk Scheduling in Multiprogramming Systems

In a multiprogramming system, several processes may contend for disk resources. Disk scheduling aims to efficiently share the disk drive's resources among processes, maximizing I/O request satisfaction while minimizing head movement. Various disk scheduling policies like FCFS, SSTF, and SCAN aim to

1 views • 22 slides


GPU-Accelerated Delaunay Refinement: Efficient Triangulation Algorithm

This study presents a novel approach for computing Delaunay refinement using GPU acceleration. The algorithm aims to generate a constrained Delaunay triangulation from a planar straight line graph efficiently, with improvements in termination handling and Steiner point management. By leveraging GPU

0 views • 23 slides


Understanding Operating System Scheduling Principles

Operating system scheduling involves making decisions on resource allocation among multiple clients, determining who gets to use the resource next and for how long. Different scheduling algorithms aim to achieve specific goals, such as maximizing throughput, minimizing waiting time, ensuring fairnes

0 views • 57 slides


vFireLib: Forest Fire Simulation Library on GPU

Dive into Jessica Smith's thesis defense on vFireLib, a forest fire simulation library implemented on the GPU. The research focuses on real-time GPU-based wildfire simulation for effective and safe wildfire suppression efforts, aiming to reduce costs and mitigate loss of habitat, property, and life.

0 views • 95 slides


Understanding GPU Programming Models and Execution Architecture

Explore the world of GPU programming with insights into GPU architecture, programming models, and execution models. Discover the evolution of GPUs and their importance in graphics engines and high-performance computing, as discussed by experts from the University of Michigan.

0 views • 28 slides


Microarchitectural Performance Characterization of Irregular GPU Kernels

GPUs are widely used for high-performance computing, but irregular algorithms pose challenges for parallelization. This study delves into the microarchitectural aspects affecting GPU performance, emphasizing best practices to optimize irregular GPU kernels. The impact of branch divergence, memory co

0 views • 26 slides


Managing DRAM Latency Divergence in Irregular GPGPU Applications

Addressing memory latency challenges in irregular GPGPU applications, this study explores techniques like warp-aware memory scheduling and GPU memory controller optimization to reduce DRAM latency divergence. The research delves into the impact of SIMD lanes, coalescers, and warp-aware scheduling on

0 views • 33 slides


Advanced GPU Performance Modeling Techniques

Explore cutting-edge techniques in GPU performance modeling, including interval analysis, resource contention identification, detailed timing simulation, and balancing accuracy with efficiency. Learn how to leverage both functional simulation and analytical modeling to pinpoint performance bottlenec

0 views • 32 slides


Orchestrated Scheduling and Prefetching for GPGPUs

This paper discusses the implementation of an orchestrated scheduling and prefetching mechanism for GPGPUs to enhance system performance by improving IPC and overall warp scheduling policies. It presents a prefetch-aware warp scheduler proposal aiming to make a simple prefetcher more capable, result

0 views • 46 slides


Efficient Department Scheduling for Timetabling Success

Efficient timetabling for a department involves various stages like data entry, draft timetable creation, feedback collection, production of the final timetable, schedule adjustments, and publication. Key information needed includes faculty availability, room inventory, specific scheduling parameter

0 views • 59 slides


Communication Costs in Distributed Sparse Tensor Factorization on Multi-GPU Systems

This research paper presented an evaluation of communication costs for distributed sparse tensor factorization on multi-GPU systems. It discussed the background of tensors, tensor factorization methods like CP-ALS, and communication requirements in RefacTo. The motivation highlighted the dominance o

0 views • 34 slides


Understanding Scheduling in Operating Systems: A Comprehensive Overview

This content delves into the intricate details of scheduling in operating systems, covering the goals, various scheduling algorithms, multiprogramming concepts, decision-making processes for resource allocation, timing considerations, scheduling objectives, and performance criteria such as throughpu

0 views • 42 slides


GPU Acceleration in ITK v4 Overview

This presentation by Won-Ki Jeong from Harvard University at the ITK v4 winter meeting in 2011 discusses the implementation and advantages of GPU acceleration in ITK v4. Topics covered include the use of GPUs as co-processors for massively parallel processing, memory and process management, new GPU

0 views • 33 slides


Understanding GPU-Accelerated Fast Fourier Transform

Today's lecture delves into the realm of GPU-accelerated Fast Fourier Transform (cuFFT), exploring the frequency content present in signals, Discrete Fourier Transform (DFT) formulations, roots of unity, and an alternative approach for DFT calculation. The lecture showcases the efficiency of GPU-bas

0 views • 40 slides


GPU Computing and Synchronization Techniques

Synchronization in GPU computing is crucial for managing shared resources and coordinating parallel tasks efficiently. Techniques such as __syncthreads() and atomic instructions help ensure data integrity and avoid race conditions in parallel algorithms. Examples requiring synchronization include Pa

0 views • 22 slides


Understanding GPU Performance for NFA Processing

Hongyuan Liu, Sreepathi Pai, and Adwait Jog delve into the challenges of GPU performance when executing NFAs. They address data movement and utilization issues, proposing solutions and discussing the efficiency of processing large-scale NFAs on GPUs. The research explores architectures and paralleli

0 views • 25 slides


Maximizing GPU Throughput with HTCondor in 2023

Explore the integration of GPUs with HTCondor for efficient throughput computing in 2023. Learn how to enable GPUs on execution platforms, request GPUs for jobs, and configure job environments. Discover key considerations for jobs with specific GPU requirements and how to allocate GPUs effectively.

0 views • 22 slides


College of Medicine M4 Scheduling Information for Class of 2021

Important scheduling timeline information for 4th-year medical students at the College of Medicine. Key dates include deadlines for hardship requests, core clerkship preferences, Geriatrics/Palliative Medicine enrollment, scheduling rounds, and publication rules. Compliance with specific requirement

0 views • 8 slides


ZMCintegral: Python Package for Monte Carlo Integration on Multi-GPU Devices

ZMCintegral is an easy-to-use Python package designed for Monte Carlo integration on multi-GPU devices. It offers features such as random sampling within a domain, adaptive importance sampling using methods like Vegas, and leveraging TensorFlow-GPU backend for efficient computation. The package prov

0 views • 7 slides


GPU Acceleration in ITK v4: Overview and Implementation

This presentation discusses the implementation of GPU acceleration in ITK v4, focusing on providing a high-level GPU abstraction, transparent resource management, code development status, and GPU core classes. Goals include speeding up certain types of problems and managing memory effectively.

0 views • 32 slides


Improving Job Scheduling with Nudge Policy

Explore the innovative Nudge policy for stochastic improvement upon First-Come-First-Served (FCFS) scheduling. The Nudge policy introduces a new approach with better performance tradeoffs compared to traditional scheduling methods. Discover how Nudge outperforms FCFS across various job size distribu

0 views • 21 slides


Job Scheduling Across Geo-distributed Datacenters

Scheduling jobs across geo-distributed datacenters poses challenges such as optimizing job completion time, reducing data transfer costs, and coordinating tasks across multiple locations. Various strategies like reordering-based approaches and scheduling heuristics are explored to enhance job schedu

0 views • 32 slides


Efficient Parallelization Techniques for GPU Ray Tracing

Dive into the world of real-time ray tracing with part 2 of this series, focusing on parallelizing your ray tracer for optimal performance. Explore the essentials needed before GPU ray tracing, handle materials, textures, and mesh files efficiently, and understand the complexities of rendering trian

0 views • 159 slides


Insights into Volunteer Scheduling and Management

Exploring the intricacies of volunteer scheduling, this informative guide covers topics such as creating schedule slots, weighing the pros and cons of scheduling, opportunity scheduling, monthly calendars, slot summaries, volunteer and opportunity listings, and more. Dive into the world of volunteer

0 views • 21 slides


University Space Scheduling Guidelines

University space scheduling guidelines prioritize academic courses and campus use, emphasizing the need for more available space. The policy outlines expectations, scheduling guidelines, and the management of laboratory and studio spaces. It also addresses the direct scheduling of such spaces for sp

0 views • 14 slides


Synchronization and Shared Memory in GPU Computing

Synchronization and shared memory play vital roles in optimizing parallelism in GPU computing. __syncthreads() enables thread synchronization within blocks, while atomic instructions ensure serialized access to shared resources. Examples like Parallel BFS and summing numbers highlight the need for s

0 views • 21 slides


Understanding CPU Scheduling Concepts at Eshan College of Engineering, Mathura

Dive into the world of CPU scheduling at Eshan College of Engineering in Mathura with Associate Professor Vyom Kulshreshtha. Explore topics such as CPU utilization, I/O burst cycles, CPU burst distribution, and more. Learn about the CPU scheduler, dispatcher module, scheduling criteria, and the impl

0 views • 18 slides


Overview of Project Scheduling in Engineering Management

The lecture covers planning and scheduling in engineering management, focusing on activity and event scheduling techniques, bar charts, critical path analysis, and addressing project scheduling principles. It discusses the objectives of the lecture, the difference between planning and scheduling, th

0 views • 29 slides