그래픽 최적화를 위해서 필수로 알아야하는 드로우콜과 배칭을 심화하여 다룹니다. 드로우콜의 개념, Batch와 SetPass Call의 차이, 드로우콜 감소 방법 등등 기초 개념부터 실무적인 깊이까지 다룹니다. 기반지식 여부 상관 없이 모두 들으실 수 있습니다. 특히 아티스트와 프로그래머에게 도움이 될 것입니다.
We updated the DLA system introductions here, from design, add-on functions, and applications. During the 2018~2019, we developed the tools needed for IC simulation and verification, constructed a quantize-aware & HW-aware training flow, and improved the automation of the verification. We have verified this system through FPGA and solid-state SoC.
Accelerating Real Time Video Analytics on a Heterogenous CPU + FPGA PlatformDatabricks
The current uptrend in faster computational power has led to a more mature eco-system for image processing and video analytics. By using deep neural networks for image recognition and object detection we can achieve better than human accuracies. Industrial sectors led by retail and finance want to take advantage of these latest developments in real-time analysis of video content for fraud detection, surveillance and many other applications.
There are a couple of challenges involved in the real word implementation of a video analytics solution:
1) Most video analytics use-cases are effective only when response times are in milliseconds. Requirement of performing at very low latencies gives rise to a need for software and hardware acceleration
2) Such solutions will need wide-spread deployment and are expected to have low TCO. To address these two key challenges we propose a video analytics solution leveraging Spark Structured Streaming + DL framework (like Intel’s Analytics-Zoo & Tensorflow) built on a heterogenous CPU + FPGA hardware platform.
The proposed solution provides >3x acceleration in performance to a video analytics pipeline when compared to a CPU only implementation while requiring zero code change on the application side as well as achieving more than 2x decrease in TCO. Our video analytics pipeline includes ingestion of video stream + H.264 decode to image frames + image transformation + image inferencing, that uses a deep neural network. FPGA based solution offloads the entire pipeline computation to the FPGA while CPU only solution implements the pipeline using OpenCV + Spark Structured Streaming + Intel’s Analytics-Zoo DL library.
Key Take aways:
1. Optimizing performance of Spark Streaming + DL pipeline
2. Acceleration of video analytics pipeline using FPGA to deliver high throughput at low latency and reduced TCO.
3. Performance data for benchmarking CPU and CPU + FPGA based solution.
OpenGL NVIDIA Command-List: Approaching Zero Driver OverheadTristan Lorach
This presentation introduces a new NVIDIA extension called Command-list.
The purpose of this presentation is to explain the basic concepts on how to use it and show what are the benefits.
The sample I used for the talk is here: https://github.com/nvpro-samples/gl_commandlist_bk3d_models
The driver for trying should be PreRelease 347.09
http://www.nvidia.com/download/driverResults.aspx/80913/en-us
44CON 2014 - Stupid PCIe Tricks, Joe Fitzpatrick44CON
44CON 2014 - Stupid PCIe Tricks, Joe Fitzpatrick.
Hardware hacks tend to focus on low-speed (jtag, uart) and external (network, usb) interfaces, and PCI Express is typically neither. After a crash course in PCIe Architecture, we’ll demonstrate a handful of hacks showing how pull PCIe outside of your system case and add PCIe slots to systems without them, including embedded platforms. We’ll top it off with a demonstration of SLOTSCREAMER, an inexpensive device that’s part of the NSA Playset which we’ve configured to access memory and IO, cross-platform and transparent to the OS - all by design with no 0-day needed. The open hardware and software framework that we will release will expand your Playset with the ability to tinker with DMA attacks to read memory, bypass software and hardware security measures, and directly attack other hardware devices in the system.
Presentation by Jonathan Cohen & Mark Berger at Bioinformatics conference July 2013. It covers
- GPU Programming in 10 slides
- GPUs in Bioinformatics
- Porting SeqAn to CUDA
- Resources for developers and bioinformatics professionals
Solving channel coding simulation and optimization problems using GPUUsatyuk Vasiliy
Based on several important examples we show great potencial of GPU in codes on the graph optimization (probabalistical graphical model). We consider error-floor estimation weighed of Trapping Sets, Matrix multiplication operation (which important for fast sieving of LDPC using spectral graph analisys Tanner bound and cycle enumerating using lollipop cycles count in LDPC) and Monte-Carlo simulation of LDPC and Turbo Codes.
Exploring Compiler Optimization Opportunities for the OpenMP 4.x Accelerator...Akihiro Hayashi
Third Workshop on Accelerator Programming Using Directives (WACCPD2016, co-located with SC16)
While GPUs are increasingly popular for high-performance
computing, optimizing the performance of GPU programs is a time-consuming and non-trivial process in general. This complexity stems from the low abstraction level of standard
GPU programming models such as CUDA and OpenCL:
programmers are required to orchestrate low-level operations
in order to exploit the full capability of GPUs. In terms of
software productivity and portability, a more attractive approach
would be to facilitate GPU programming by providing high-level
abstractions for expressing parallel algorithms.
OpenMP is a directive-based shared memory parallel programming model and has been widely used for many years.
From OpenMP 4.0 onwards, GPU platforms are supported
by extending OpenMP’s high-level parallel abstractions with
accelerator programming. This extension allows programmers to
write GPU programs in standard C/C++ or Fortran languages,
without exposing too many details of GPU architectures.
However, such high-level parallel programming strategies generally impose additional program optimizations on compilers,
which could result in lower performance than fully hand-tuned
code with low-level programming models.To study potential
performance improvements by compiling and optimizing high-level GPU programs, in this paper, we 1) evaluate a set of
OpenMP 4.x benchmarks on an IBM POWER8 and NVIDIA
Tesla GPU platform and 2) conduct a comparable performance
analysis among hand-written CUDA and automatically-generated
GPU programs by the IBM XL and clang/LLVM compilers.
This talk explores what has gone in so far in the Linux kernel (version 3.0 and 3.1) and which Linux distributions are deliverinbg Xen again. The otalk explores outstanding challenges and the pieces that are missing and what we can do, and what we cannot do working with Linux.
A Development of Log-based Game AI using Deep LearningSuntae Kim
PyCon Korea 2018 발표자료입니다.
https://www.pycon.kr/2018/program/34
게임에서 AI는 빠질 수 없는 기능으로 그동안 다양한 장르와 플랫폼에서 사용되어 왔다.
특히 요즘 모바일 게임에서 자동 플레이 AI는 흔히 '노가다', '피로도'를 줄여주기 위한 매우 중요한 기능으로 자리잡고 있다. 하지만 지금까지의 자동 플레이 AI는 정해진 범위안에서 작동하는 FSM(Finite State Machine) 형태로 구현되다 보니 AI가 동작하는 경우의 수가 유한하고 한정적이라고 볼 수 있다. 때로는 이렇게 정해진 패턴의 AI가 유저들에게는 마치 로보트와 같은 느낌을 주기도 한다. 아무리 State를 추가하고 자연스럽게 구현해보려고 해도 어디까지 자연스럽게 해줘야 할 것인가에 대한 한계에 맞닥들이게 된다. 고려해야 할 경우의 수가 많기 때문이다.
하지만 이렇게 다양한 경우의 수를 로직으로 구현하지 않고 사용자가 플레이했던 데이터를 이용하여 학습시켜보면 어떨까? 이 호기심을 시작으로 LINE에서 자체 개발한 "리틀나이츠" 모바일 게임에 적용해보기로 했다. 게임 런칭 후 실제 사용자 플레이 로그를 수집하여 전처리하고 학습시켜서, 기획 의도에 맞게 유저가 Offline일 때 자신을 대신해서 플레이해 줄 수 있는 AI를 개발하였다. 이를 위해서 유저가 언제 어떤 카드를 선택했고 어디에 배치했는지, When, What, Where 3가지 상황에 대해서 학습시켰고 게임에 적용시켜 보았다.
단계별 과정을 간략하게 살펴보면, 먼저 로그 포멧을 게임 개발팀과 함께 정의했다. 두번째로 유저가 플레이했던 배틀 정보가 사전에 정의했던 로그 포맷 형태로 하둡에 쌓이게 했으며, 세번째로 Apache Spark을 이용하여 저장된 대용량 플레이 로그를 분산으로 전처리하여 데이터를 학습 가능한 형태로 가공하였다. 네번째로 AI 모델을 만들기 위한 뉴럴 네트워크를 설계하고, Python과 TensorFlow를 이용하여 데이터를 학습시켰다. 다섯번째로 학습에 반영되지 않는 순수한 테스트 데이터로 예측률을 구해본다. 이때 최적의 모델을 찾기 위해서 인내를 가지고 테스트하게 되는데, 먼저 하이퍼파라메터를 변경해보고 그래도 성능이 안나오면 뉴럴 네트워크와 데이터 전처리를 다양하게 변경해가며 테스트해 본다. 참고로 이러한 과정에 소비되는 Cost를 줄이고 싶다면 AutoML에 관심을 가져보아도 좋다. 여섯번째로 Python으로 개발된 AI 모델을 C# 기반의 유니티 환경에서 구동시키기 위해서 LineTensorFlow(가칭) 라이브러리를 개발해서 유니티 게임에 적용하였다.
발표 끝부분에서는 학습 지표를 공유하고, 알고리즘 기반의 AI와 딥러닝 기반의 AI에 대해서 플레이 비교 영상을 보고, 어떤 것이 딥러닝을 이용한 AI인지 맞춰보는 시간도 갖아본다. 이 발표에서는 로그 기반의 게임 AI가 개발되는 과정에서 파이썬이 어떻게 활용되었는지 살펴보고, 그 동안 겪었던 문제와 해결 방법에 대해서 공유하고자 한다.
Jeff Johnson, Research Engineer, Facebook at MLconf NYCMLconf
Hacking GPUs for Deep Learning: GPUs have revolutionized machine learning in recent years, and have made both massive and deep multi-layer neural networks feasible. However, misunderstandings on why they seem to be winning persist. Many of deep learning’s workloads are in fact “too small” for GPUs, and require significantly different approaches to take full advantage of their power. There are many differences between traditional high-performance computing workloads, long the domain of GPUs, and those used in deep learning. This talk will cover these issues by looking into various quirks of GPUs, how they are exploited (or not) in current model architectures, and how Facebook AI Research is approaching deep learning programming through our recent work.
Similar to 그래픽 최적화로 가...가버렷! (부제: 배치! 배칭을 보자!) , Batch! Let's take a look at Batching! - Unite Seoul 2016 (20)
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
35. Batch
= Draw Call
+ Set VB/IB (mesh)
+ Set Transform (Shader Constant)
+ Set Shader
+ Set Texture 0~7
+ Set Blending
+ Set Z enable
+ ...
SetPass Call
(Material&Shader)
78. Condition 1
- Batching : No
- Occlusion Culling : No
Condition 2
- Batching : Yes
- Occlusion Culling : No
Condition 3
- Batching : Yes
- Occlusion Culling : Yes
FPS(ms) 41(24.3) 50(20.0) 60(16.6)
Batches 1365 157 94
SetPass Calls 134 142 81
Saved by Batching 0 1207 244
Tris 114.3K 114.3K 28.9K
-4.3ms -3.4ms
-1208 -63
-8 -61
-85.4K
Note :
- This is not the official data.
- This is the rough test. Not the exact reference.
- Keep in mind “case by case”