This document summarizes tools and techniques for accelerating Android game development. It discusses the growing market for mobile games and how game engines support game creation. It then introduces Intel's Graphics Performance Analyzers (GPA) tools for debugging, profiling, and optimizing game performance on Android and other platforms. GPA allows analysis of system metrics, individual frames, and frame debugging to improve efficiency. The document also presents Intel's Media Pack for integrated video recording and the Hardware Accelerated Execution Manager to speed up the Android emulator.
Optimization Deep Dive: Unreal Engine 4 on IntelIntel® Software
This talk covers the work Intel and Epic Games have done together to enable improved performance of UE4 on Intel platforms, including DirectX 12 and Android. Many techniques presented are general and apply to all games and engines.
Debug, Analyze and Optimize Games with Intel Tools - Matteo Valoriani - Codem...Codemotion
Use the full potential of your favorite platform while improving a videogame's frame rate and performance with GPA (Graphic Performance Analyzer), a free tool powered by Intel. Featuring a convenient panel overlay, you can quickly identify problem areas and experiment with improvements without having to recompile the source code. System Analyzing to isolate common bottlenecks that affect your game's performance in real time. Analyze performance on a single frame down to the draw call level. Identify where you can evenly distribute workloads across the CPU and GPU.
Playing low FPS games is never enjoyable. Learn how to approach game optimization and utilize industry optimization tools. Come join us for a live optimization workflow tutorial with XXX game development studio using the Intel® Graphics Performance Analyzers
Intel TCE Seth Schneider provides a technical overview, outlines the benefits for Game Optimization and answers questions regarding Intel’s Graphics Processing Analyzer.
Optimization Deep Dive: Unreal Engine 4 on IntelIntel® Software
This talk covers the work Intel and Epic Games have done together to enable improved performance of UE4 on Intel platforms, including DirectX 12 and Android. Many techniques presented are general and apply to all games and engines.
Debug, Analyze and Optimize Games with Intel Tools - Matteo Valoriani - Codem...Codemotion
Use the full potential of your favorite platform while improving a videogame's frame rate and performance with GPA (Graphic Performance Analyzer), a free tool powered by Intel. Featuring a convenient panel overlay, you can quickly identify problem areas and experiment with improvements without having to recompile the source code. System Analyzing to isolate common bottlenecks that affect your game's performance in real time. Analyze performance on a single frame down to the draw call level. Identify where you can evenly distribute workloads across the CPU and GPU.
Playing low FPS games is never enjoyable. Learn how to approach game optimization and utilize industry optimization tools. Come join us for a live optimization workflow tutorial with XXX game development studio using the Intel® Graphics Performance Analyzers
Intel TCE Seth Schneider provides a technical overview, outlines the benefits for Game Optimization and answers questions regarding Intel’s Graphics Processing Analyzer.
Learn how Intel worked with Pixar Animation Studios* and Sony Imageworks* to realize dynamic SIMD code generation of Open Shading Language shader networks, achieving 3-9x speedups with Intel® AVX-512.
[Android Codefest Germany] Adding x86 target to your Android app by Xavier Ha...BeMyApp
The Android Codefest Germany is a challenge on optimizing your existing Android NDK app on x86 processor or on building one.
It's still open until Sunday, November 24th, you can submit your app here: http://androidcodefest.bemyapp.com
Tuning For Deep Learning Inference with Intel® Processor Graphics | SIGGRAPH ...Intel® Software
Deep learning based Inference on edge based devices is growing rapidly. In this talk, learn about how developers and researchers are taking advantage of Intel® Processor Graphics to get best performance.
Open Source Interactive CPU Preview Rendering with Pixar's Universal Scene De...Intel® Software
Universal Scene Description* (USD) is an open source initiative developed by Pixar for fast, large scale, and universal asset management across multiple programs including Maya, Houdini, and others.
Embree Ray Tracing Kernels | Overview and New Features | SIGGRAPH 2018 Tech S...Intel® Software
Overview of the new Embree 3 ray tracing framework, including how to use the new API, supported geometry types, and ray intersection methods. Includes a look at new features like normal oriented curves, vertex grids, etc.
Clear Linux OS is an Open Source distribution optimized for Intel Architecture. Come and learn how to be part of the community and contribute to the project.
Android is an open source Platform or a software stack for mobile. It is a Google product. but still as it is a open source so anyone can develop its application It run on dalvik VM and its applications are written in java. Android is a terrifically growing mobile platform and also a user loveable OS for mobile phone. We can see that its new versions are coming with a small or can say with in a minimum interval . Recently we have android 5.0 and on its release google had announced for android 5.0.1 also.
The Android OS project was started in 2001. Initially developed by Android, Inc., which Google backed financially and later bought in 2005, Android was unveiled in 2007 along with the founding of the Open Handset Alliance.
1-HISTORY OF ANDROID:-
In 2005 Google buys android Incorporation and started dalvik. At that time it is not possible for Google to go out and buy the companies to work on android, so Google in 2007 announced Android as an Open Handset Alliance so it a point to be noted that know android is not owned by only by Google or Google is the owner of android but OHA is the owner of android. 2008 to 2010 the android become a biggest used platform for mobile, it was world wide accepted mobile platform domain. In 2011 the chairman of Google Mr. Eric had decided to more to other device also like gaming, tablets, Tv watches, Car GPRS systems, etc.
YEAR TASK
2005 Google buys ANDROID Inc.
2007 Open Handset Alliance. Announced FIRST SDK.
2008 Android become the domain of mobile platform
2011 Games, tablets, watches,etc
Why Dalvik VM not Java VM (JVM) ?
Android runs java app so why don’t we use java vm ?
because of two good reasons
1- business.
2- Technical.
Business is Java is owned by Oracle. So We have to buy license for java VM. Due to which Android will no longer be free, and there is no reason that why Google will give profit to Oracle. And it is not easy for Google to buy license from oracle for each VM After all it is the reason for its pride. There are main two technical reasons
1-battery consumption of java vm. As java is optimized and is designed to run on Intel chips easily and Intel chips need more and more power to run and in mobiles the battery in main consistent so intel chips are replaced by armed chips, so it is not possible to run java vm on it.
2- Memory consumption in java vm to run any app first we have to load it class for memory to Hard disk or RAM, so to run first we have to wait for vm to search and load class in HD or RAM. And in mobile we don’t have such a large memory that we load classes every before running any app. So it better to replace JVM with dalvik vm which use classes but there is no need to load it in RAM it run it directly.
Difference b\w Delvik and ART
0 In dalvik runtime, the JIT in bounded to CPU but ART frees the CPU from translating DEX to machine code during app’s execution thus reduce energy consumption.
o ART is faster as it directly convert. DEX byte-code to NAT
Learn how Intel worked with Pixar Animation Studios* and Sony Imageworks* to realize dynamic SIMD code generation of Open Shading Language shader networks, achieving 3-9x speedups with Intel® AVX-512.
[Android Codefest Germany] Adding x86 target to your Android app by Xavier Ha...BeMyApp
The Android Codefest Germany is a challenge on optimizing your existing Android NDK app on x86 processor or on building one.
It's still open until Sunday, November 24th, you can submit your app here: http://androidcodefest.bemyapp.com
Tuning For Deep Learning Inference with Intel® Processor Graphics | SIGGRAPH ...Intel® Software
Deep learning based Inference on edge based devices is growing rapidly. In this talk, learn about how developers and researchers are taking advantage of Intel® Processor Graphics to get best performance.
Open Source Interactive CPU Preview Rendering with Pixar's Universal Scene De...Intel® Software
Universal Scene Description* (USD) is an open source initiative developed by Pixar for fast, large scale, and universal asset management across multiple programs including Maya, Houdini, and others.
Embree Ray Tracing Kernels | Overview and New Features | SIGGRAPH 2018 Tech S...Intel® Software
Overview of the new Embree 3 ray tracing framework, including how to use the new API, supported geometry types, and ray intersection methods. Includes a look at new features like normal oriented curves, vertex grids, etc.
Clear Linux OS is an Open Source distribution optimized for Intel Architecture. Come and learn how to be part of the community and contribute to the project.
Android is an open source Platform or a software stack for mobile. It is a Google product. but still as it is a open source so anyone can develop its application It run on dalvik VM and its applications are written in java. Android is a terrifically growing mobile platform and also a user loveable OS for mobile phone. We can see that its new versions are coming with a small or can say with in a minimum interval . Recently we have android 5.0 and on its release google had announced for android 5.0.1 also.
The Android OS project was started in 2001. Initially developed by Android, Inc., which Google backed financially and later bought in 2005, Android was unveiled in 2007 along with the founding of the Open Handset Alliance.
1-HISTORY OF ANDROID:-
In 2005 Google buys android Incorporation and started dalvik. At that time it is not possible for Google to go out and buy the companies to work on android, so Google in 2007 announced Android as an Open Handset Alliance so it a point to be noted that know android is not owned by only by Google or Google is the owner of android but OHA is the owner of android. 2008 to 2010 the android become a biggest used platform for mobile, it was world wide accepted mobile platform domain. In 2011 the chairman of Google Mr. Eric had decided to more to other device also like gaming, tablets, Tv watches, Car GPRS systems, etc.
YEAR TASK
2005 Google buys ANDROID Inc.
2007 Open Handset Alliance. Announced FIRST SDK.
2008 Android become the domain of mobile platform
2011 Games, tablets, watches,etc
Why Dalvik VM not Java VM (JVM) ?
Android runs java app so why don’t we use java vm ?
because of two good reasons
1- business.
2- Technical.
Business is Java is owned by Oracle. So We have to buy license for java VM. Due to which Android will no longer be free, and there is no reason that why Google will give profit to Oracle. And it is not easy for Google to buy license from oracle for each VM After all it is the reason for its pride. There are main two technical reasons
1-battery consumption of java vm. As java is optimized and is designed to run on Intel chips easily and Intel chips need more and more power to run and in mobiles the battery in main consistent so intel chips are replaced by armed chips, so it is not possible to run java vm on it.
2- Memory consumption in java vm to run any app first we have to load it class for memory to Hard disk or RAM, so to run first we have to wait for vm to search and load class in HD or RAM. And in mobile we don’t have such a large memory that we load classes every before running any app. So it better to replace JVM with dalvik vm which use classes but there is no need to load it in RAM it run it directly.
Difference b\w Delvik and ART
0 In dalvik runtime, the JIT in bounded to CPU but ART frees the CPU from translating DEX to machine code during app’s execution thus reduce energy consumption.
o ART is faster as it directly convert. DEX byte-code to NAT
Tiger Style, the indie studio behind this year's Waking Mars and the 2009 IGF Best Mobile Game, Spider: The Secret of Bryce Manor, is committed to creating innovative gameplay and meaningful artistic content with every project. Despite a strong background in design savvy titles such as Thief, Deus Ex, and Splinter Cell, the team learned that innovation is never easy or predictable. Numerous prototypes, several major revisions, and a series of crucial revelations were survived before the concepts "action gardening" and "ecosystem gameplay" evolved from catch phrases into new interactive experiences the team was proud of. Join creative director Randy Smith through a tour of their well-documented experiments, mistakes, theories, and victories to get a glimpse into what this award-winning studio has learned about the problem of inventing new gameplay.
XPDS13: XenGT - A software based Intel Graphics Virtualization Solution - Hai...The Linux Foundation
GPU virtualization has become an increasingly important requirement for client virtualization and cloud. Significant challenges exists realizing the multiplexing of graphics, media and compute workloads from multiple VMs and achieving the goals of being fully functional, high performance and secure. In this presentation, we will first review existing graphics virtualization technologies, and then introduce how XenGT - an open source solution from Intel - approaches differently. Broad functionality and good performance is achieved by accelerating the native OS graphics stack in each VM with minimum hypervisor intervention. A software mediator ensures the secure multiplexing of workloads from the multiple VMs by managing the scheduling of VMs on the GPU and controlling access to privileged resources and operations.
DPDK Summit - 08 Sept 2014 - Intel - Networking Workloads on Intel ArchitectureJim St. Leger
Venky Venkatesan presents information on the Data Plane Development Kit (DPDK) including an overview, background, methodology, and future direction and developments.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/11/acceleration-of-deep-learning-using-openvino-3d-seismic-case-study-a-presentation-from-intel/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
Manas Pathak, Global AI Lead for Oil and Gas at Intel, presents the “Acceleration of Deep Learning Using OpenVINO: 3D Seismic Case Study” tutorial at the September 2020 Embedded Vision Summit.
The use of deep learning for automatic seismic data interpretation is gaining the attention of many researchers across the oil and gas industry. The integration of high-performance computing (HPC) AI workflows in seismic data interpretation brings the challenge of moving and processing large amounts of data from HPC to AI computing solutions and vice-versa.
In this presentation, Pathak illustrates this challenge via a case study using a public deep learning model for salt identification applied on a 3D seismic survey from the F3 Dutch block in the North Sea. He presents a workflow to address this challenge and perform accelerated AI on seismic data. The Intel Distribution of OpenVINO toolkit was used to increase the inference performance of a pre-trained model on an Intel CPU. OpenVINO allows CPU users to get significant improvement in AI inference performance for high memory capacity deep learning models used on large datasets without any significant loss in accuracy.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/06/intel-video-ai-box-converging-ai-media-and-computing-in-a-compact-and-open-platform-a-presentation-from-intel/
Richard Chuang, Principal AI Engineer at Intel, presents the “Intel Video AI Box—Converging AI, Media and Computing in a Compact and Open Platform” tutorial at the May 2022 Embedded Vision Summit.
As a system integrator, solution provider or AI developer, you need to run your AI applications efficiently at the edge with sufficient throughput. Does your edge device run either generic computing or deep learning inferencing, but not both? Intel Video AI Box with Core CPU and integrated Xe LP graphics offers a compact solution to run video AI analytics at the edge with the support to orchestrate AI applications and workloads in cloud-to-edge deployments.
In this presentation, you’ll learn about Intel’s new platform, comprising an Intel CPU with integrated graphics and the Edge AI Box for Video Analytics software package, and how it enables developing cutting-edge video solutions faster. Chuang also explores EFLOW enablement on the platform, which allows Windows-based business applications to run rich Linux AI workload containers with Azure cloud connections for scalable deployments.
E5 Intel Xeon Processor E5 Family Making the Business Case Intel IT Center
This presentation highlights cloud computing advantages of the Intel® Xeon® processor E5 family and helps you make the business case for investing. Includes access to an ROI calculator.
Software Development Tools for Intel® IoT PlatformsIntel® Software
This talk familiarizes participants with the benefits of using the Intel® software development tools and libraries for developing end-to-end IoT solutions.
Similar to Accelerate Your Game Development on Android* (20)
AI for All: Biology is eating the world & AI is eating Biology Intel® Software
Advances in cell biology and creation of an immense amount of data are converging with advances in Machine learning to analyze this data. Biology is experiencing its AI moment and driving the massive computation involved in understanding biological mechanisms and driving interventions. Learn about how cutting edge technologies such as Software Guard Extensions (SGX) in the latest Intel Xeon Processors and Open Federated Learning (OpenFL), an open framework for federated learning developed by Intel, are helping advance AI in gene therapy, drug design, disease identification and more.
Python Data Science and Machine Learning at Scale with Intel and AnacondaIntel® Software
Python is the number 1 language for data scientists, and Anaconda is the most popular python platform. Intel and Anaconda have partnered to bring scalability and near-native performance to Python with simple installations. Learn how data scientists can now access oneAPI-optimized Python packages such as NumPy, Scikit-Learn, Modin, Pandas, and XGBoost directly from the Anaconda repository through simple installation and minimal code changes.
Streamline End-to-End AI Pipelines with Intel, Databricks, and OmniSciIntel® Software
Preprocess, visualize, and Build AI Faster at-Scale on Intel Architecture. Develop end-to-end AI pipelines for inferencing including data ingestion, preprocessing, and model inferencing with tabular, NLP, RecSys, video and image using Intel oneAPI AI Analytics Toolkit and other optimized libraries. Build at-scale performant pipelines with Databricks and end-to-end Xeon optimizations. Learn how to visualize with the OmniSci Immerse Platform and experience a live demonstration of the Intel Distribution of Modin and OmniSci.
AI for good: Scaling AI in science, healthcare, and more.Intel® Software
How do we scale AI to its full potential to enrich the lives of everyone on earth? Learn about AI hardware and software acceleration and how Intel AI technologies are being used to solve critical problems in high energy physics, cancer research, financial inclusion, and more. Get started on your AI Developer Journey @ software.intel.com/ai
Software AI Accelerators: The Next Frontier | Software for AI Optimization Su...Intel® Software
Software AI Accelerators deliver orders of magnitude performance gain for AI across deep learning, classical machine learning, and graph analytics and are key to enabling AI Everywhere. Get started on your AI Developer Journey @ software.intel.com/ai.
Advanced Techniques to Accelerate Model Tuning | Software for AI Optimization...Intel® Software
Learn about the algorithms and associated implementations that power SigOpt, a platform for efficiently conducting model development and hyperparameter optimization. Get started on your AI Developer Journey @ software.intel.com/ai.
Reducing Deep Learning Integration Costs and Maximizing Compute Efficiency| S...Intel® Software
oneDNN Graph API extends oneDNN with a graph interface which reduces deep learning integration costs and maximizes compute efficiency across a variety of AI hardware including AI accelerators. Get started on your AI Developer Journey @ software.intel.com/ai.
AWS & Intel Webinar Series - Accelerating AI ResearchIntel® Software
Scale your research workloads faster with Intel on AWS. Learn how the performance and productivity of Intel Hardware and Software help bridge the gap between ideation and results in Data Science. Get started on your AI Developer Journey @ software.intel.com/ai.
Whether you are an AI, HPC, IoT, Graphics, Networking or Media developer, visit the Intel Developer Zone today to access the latest software products, resources, training, and support. Test-drive the latest Intel hardware and software products on DevCloud, our online development sandbox, and use DevMesh, our online collaboration portal, to meet and work with other innovators and product leaders. Get started by joining the Intel Developer Community @ software.intel.com.
Advanced Single Instruction Multiple Data (SIMD) Programming with Intel® Impl...Intel® Software
Explore practical elements, such as performance profiling, debugging, and porting advice. Get an overview of advanced programming topics, like common design patterns, SIMD lane interoperability, data conversions, and more.
Build a Deep Learning Video Analytics Framework | SIGGRAPH 2019 Technical Ses...Intel® Software
Explore how to build a unified framework based on FFmpeg and GStreamer to enable video analytics on all Intel® hardware, including CPUs, GPUs, VPUs, FPGAs, and in-circuit emulators.
Review state-of-the-art techniques that use neural networks to synthesize motion, such as mode-adaptive neural network and phase-functioned neural networks. See how next-generation CPUs with reinforcement learning can offer better performance.
RenderMan*: The Role of Open Shading Language (OSL) with Intel® Advanced Vect...Intel® Software
This talk focuses on the newest release in RenderMan* 22.5 and its adoption at Pixar Animation Studios* for rendering future movies. With native support for Intel® Advanced Vector Extensions, Intel® Advanced Vector Extensions 2, and Intel® Advanced Vector Extensions 512, it includes enhanced library features, debugging support, and an extensive test framework.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
4. 4
Game Development Landscape
•Android*phones will reach 1.16 billion units in 2014 and 1.3 billion units in 2015 according to Gartner*
•There are more games in the Google*Play store than any other application
•With more powerful CPUs and additional RAM being added to devices, building immersive and HD games opens new doors for developer success
•Game engines aid in the process of creating compelling user experiences
Devices and game engines are evolving to provide amazing user experiences
5. 5
•Unreal Engine*
•Unity
•Project Anarchy*by Havok*
•Marmalade*
•App Game Kit*
•Cocos2D*
•Candroid
•Libgdx
•LinderdaumEngine
List of Game Engines Supporting x86 Platform (Not Exhaustive)
More and more game engines are now supporting x86
6. 6
Mobile Game Development Tools
•Other than the game engines there are other great tools that helps in faster and efficient game development
•Tools help during different aspects of game development such as scalability, monetization, profiling and debugging, Audio creation and Emulation
•Intel offers some great tools that accelerate certain aspects of game development and help developers in making sure their game is highly optimized by profiling, analyzing and debugging them.
9. 9
Why do developers like to record their video games?
•Let gamers to share their videos with friends on social networks
•Make a video demonstrations for reviews, stores
•Share hints and walkthroughs
10. 10
Video capturing using Android Media Framework
•Create and configure MediaCodec, initialize video format
•Create and configure MediaCodecinput surface
•Create wrapper to manage OpenGL context for surface
•Create and configure MediaMuxer
•Initialize and capturing pipeline in a thread
•In a loop
•Capture frame to MediaCodecsurface
•Encode frame to a buffer
•Pass buffer to MediaMuxer, write each frame
•Release all allocated recources
11. 11
Video capturing with MediaPack
•Setup video format, output file name
•Initialize GLCapture
•Configure the capturing surface
•Call start(), stop() to begin, finish capturing process
•Capture each frame inside a render loop by calling beginCaptureFrame(), endCaptureFrame()
12. 12
•Intel INDE Media Pack
•Introducing Intel® Graphics Performance Analyzers (Intel® GPA)
Agenda
13. 13
•Suite of tools for graphics analysis and optimization that can help you make games and other graphics-intensive applications run even faster
Intel® Graphics Performance Analyzers (Intel® GPA)
Live metric analysis
Frame performance
CPU/GPU tracing
Frame debugging
Intel® Atom™ Z36XXX/Z37XXX, Z25XX, Z24XX series
Android*
Select 3rd Party ARM Devices
GPU Metrics Available on Select PowerVR*- based devices
✓
✓
✓
✓
✓
✓
Intel Processor Graphics, Nvidia*/AMD*
Windows*
DirectX*9.0c, 10, 10.1, 11.0
✓
✓
✓
14. 14
Intel® Graphics Performance Analyzers Components
Performance & Debugging
GPU-bound
Use System Analyzer
Use Frame Analyzer
Use Platform Analyzer
Use Frame Debugger
CPU-bound
15. 15
•Intel® Graphics Performance Analyzers (Intel® GPA) System Analyzer
-Intel GPA System Analyzer provides OpenGL*ES API, CPU, and GPU performance metrics
•Intel GPA Frame Analyzer
-Intel GPA Frame Analyzer allows deep analysis of frames captured from System Analyzer
-Optimization tool for Microsoft*DirectX*and OpenGL*ES workloads
•Intel GPA Platform Analyzer
-VSyncmarkers to see how game rendering is aligned with VSyncevents
-Use new CPU context switches to check CPU threads execution over time: see when a thread is active and when it is waiting for a synchronization object
•IntelGPA Frame Debugger
-Create and explore frame captures for errors and “what if” experiments
Intel® Graphics Performance Analyzers (Intel® GPA) –Android*Features
Tools designed for aiding in debugging and optimizing performance
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•System requirements:
-Your ARM*-based device runs Android*4.0, 4.1, 4.2, 4.3, or 4.4
-Your analysis system is 64-bit and runs Windows*7 SP1/8/8.1 OS
-Your Android application uses OpenGL*ES 1.0, 1.1, or 2.0. Support for 3.0 and 3.1is WIP
•Benefit from following features
-System Analysis
-Asset Inspection
-Debugging
Using Intel® Graphics Performance Analyzers with ARM*Devices
Intel® Graphics Performance Analyzers now support select ARM devices!
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Scenarios Where Frame Debugger Helps
•Quickly identify geometry that has been clipped due to residing outside the viewport, where a user may have thought it would be in view
•Identify problems related to state settings that can affect final rendering output and toggle settings to re-render the draw call
•Edit and change shadersthat may have produced an undesirable affect or to experiment with different effects without launching the game
•Frame Debugger allows for playback on an emulator or the actual device in order to identify differences in final color outputs or artifacts seen on certain devices
•Provides an equal experience across both Intel devices, the emulator, and a range of 3rdparty ARM*based devices
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•Intel® Graphics Performance Analyzers (Intel® GPA) tools support Intel Android*devices without requiring a rooted device
•Intel GPA tools support select 3rdparty ARM*devices with Frame Debugger and select 3rdparty ARM+PowerVR*devices with System Analyzer
•Intel GPA tools support retail Intel devices without requiring reference design tablets or specific builds of Android.The default off-the-shelf device should just work.
•It’s free (as of now)
Why use Intel® Graphics Performance Analyzers?
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•Game engines help in creating immersive and compelling user experiences
•Intel offers a toolset to profile and optimize games for different platforms
•Introduction to ART 64 and availability of 64 bit devices from Intel make gaming experience very fluid
Summary
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•Download Intel® Graphics Performance Analyzers (Intel® GPA)today and give it a try!
•Tools, articles, and tech samples available at the Intel® Visual Computing Source
-http://software.intel.com/vcsource/tools/intel-gpa
Call to Action
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A PDF of this presentation is available from our Technical Session Catalog: www.intel.com/idfsessionsSF. This URL is also printed on the top of Session Agenda Pages in the Pocket Guide.
Additional Sources of Information
Poster Chats
Title
Day
Time
Location
SFTC001
Poster Chat: Code Faster with Intel® Parallel Studio XE 2015 Software Development Tool Editions
Wed
3-5pm
Intel Software and Services Pavilion
Station 1
SFTC002
Poster Chat: Intel® System Studio - Create Reliable and Consistently Performing System Software on Android* and Internet of Things Platforms
Wed
5-7pm
Intel Software and Services Pavilion
Station 1
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Risk Factors
The above statements and any others in this document that refer to plans and expectations for the second quarter, the year and the future are forward- looking statements that involve a number of risks and uncertainties. Words such as “anticipates,” “expects,” “intends,” “plans,”“believes,” “seeks,” “estimates,” “may,” “will,” “should” and their variations identify forward-looking statements. Statements that refer to or are based on projections, uncertain events or assumptions also identify forward-looking statements. Many factors could affect Intel’s actual results, and variances from Intel’s current expectations regarding such factors could cause actual results to differ materially from those expressed in these forward-looking statements. Intel presently considers the following to be important factors that could cause actual results to differ materially from thecompany’s expectations. Demand for Intel's products is highly variable and, in recent years, Intel has experienced declining orders in the traditional PC market segment. Demand could be different from Intel's expectations due to factors including changes in business and economic conditions; consumer confidence or income levels; customer acceptance of Intel’s and competitors’ products; competitive and pricing pressures, including actions taken by competitors; supply constraints and other disruptions affecting customers; changes in customer order patterns including order cancellations; and changes in the level of inventory at customers. Intel operates in highly competitive industries and its operations have high costs that are either fixedor difficult to reduce in the short term. Intel's gross margin percentage could vary significantly from expectations based on capacity utilization; variationsin inventory valuation, including variations related to the timing of qualifying products for sale; changes in revenue levels; segment product mix; the timing and execution of the manufacturing ramp and associated costs; excess or obsolete inventory; changes in unit costs; defects or disruptions in the supply of materials or resources; and product manufacturing quality/yields. Variations in gross margin may also be caused by the timing of Intel product introductions and related expenses, including marketing expenses, and Intel's ability to respond quickly to technological developments and to introduce new products or incorporate new features into existing products, which may result in restructuring and asset impairment charges. Intel's resultscould be affected by adverse economic, social, political and physical/infrastructure conditions in countries where Intel, its customers or its suppliers operate, including military conflict and other security risks, natural disasters, infrastructure disruptions, health concerns and fluctuations in currency exchange rates. Intel’s results could be affected by the timing of closing of acquisitions, divestitures and other significant transactions. Intel's results could be affected by adverse effects associated with product defects and errata (deviations from published specifications), and by litigation or regulatory matters involving intellectual property, stockholder, consumer, antitrust, disclosure and other issues, such as the litigation and regulatory matters described in Intel's SEC filings. An unfavorable ruling could include monetary damages or an injunction prohibiting Intel from manufacturing or selling one or more products, precluding particular business practices, impacting Intel’s ability to design its products, or requiring other remedies such as compulsory licensing of intellectual property. A detailed discussion of these and other factors that could affect Intel’s results is included in Intel’sSEC filings, including the company’s most recent reports on Form 10-Q, Form 10-K and earnings release.
Rev. 4/15/14