Staggering spi performance for arduino
•Download as KEY, PDF•
0 likes•1,638 views
Slides from a 5 minute talk on optimizing hardware SPI usage on the arduino platform for controlling leds
Report
Share
Report
Share
Recommended
Skirt Weights
The document provides details about a proposed Skirt Weight product from Swarovski. The Skirt Weight is a thin pin that slips through fabric to hold skirts down and can be accessorized with Swarovski crystals. The document outlines Swarovski's SWOT analysis and discusses targeting working women and college/high school girls. It describes the marketing mix of product, price, placement and promotion strategies to maximize profit through the Skirt Weight.
Production process of Shirt
This document provides information about the shirt manufacturing process at Alema Textile (Pvt.) Ltd. It begins with an introduction to the student submitting the report, Jotan Banik, and includes their name, ID number, and department. The next sections provide an overview of Alema Textile, including its vision, mission, products, markets, and factory information.
The core of the document is the description of Alema Textile's shirt manufacturing process. This includes 14 main steps: design, dyeing, printing, cutting, shaping, serial numbering, sewing, washing, drying, ironing, folding, packing, leveling, and bundling. It provides details on the processes and equipment used at
Programming the Cell Processor A simple raytracer from pseudo-code to spu-code
This document provides an overview of programming the Cell processor by describing how to optimize a raytracing algorithm for parallel execution across the Synergistic Processing Elements (SPEs) of the Cell. It discusses strategies like partitioning the image into rows for each SPE to process, using vectors and SIMD instructions to perform the 3D math calculations efficiently, avoiding branches by restructuring code, and leveraging direct memory access (DMA) to transfer data effectively between the SPEs and main processor. The document also notes more advanced techniques like adaptive work partitioning, object caching, and dynamic code loading that could further improve a complex raytracer's performance on the Cell architecture.
32bit Cortex Arduinoの布教とラパイド実験のススメ
The document discusses the capabilities of the Raspberry Pi compared to an Arduino. It summarizes that the Raspberry Pi has:
1) A 32-bit CPU running at 84MHz compared to the Arduino's 8-bit AVR CPU.
2) More memory resources including 96KB of SRAM and 512KB of flash.
3) Advanced peripherals including 53 GPIO pins, 5 UARTs, SPI, CAN and PWM interfaces well-suited for sensor reading, valve control, and analog output.
Using ARM Dev.Board in physical experimental instruments
This document discusses using ARM development boards for physical experimental instruments. It provides examples of the Raspberry Pi and STM32 microcontrollers, comparing their interfaces, development environments, and use in prototypes that require high-speed digital-to-analog and analog-to-digital conversion with Ethernet connectivity. Prototypes achieved update times of 5us or less while maintaining real-time data transfer capabilities. Future plans include higher resolution converters and combining STM and Raspberry Pi units for scalable real-time control.
DDR3
DDR3 is an evolution of DDR2 RAM that provides faster speeds, lower power consumption, and other improvements. Key features of DDR3 include higher clock frequencies up to 1600MHz, lower voltage of 1.5V, 8-bit prefetch, on-die termination for better signal quality, and fly-by topology. DDR3 also has read/write leveling to calibrate timing, lower signaling standards for reduced power/noise, and improved routing guidelines.
Memory Interfaces & Controllers - Sandeep Kulkarni, Lattice
This document summarizes different types of digital memory including SRAM, DRAM, EEPROM, and FLASH memory. It describes their characteristics such as volatility, refresh requirements, and density. The document also discusses various subtypes of these memories like SDRAM, DDR SDRAM, DDR2, DDR3 and their features. Memory interfaces, controllers and key timing parameters are explained. Market trends showing technology transition and declining price per bit are highlighted.
Cache aware hybrid sorter
The document describes a cache-aware hybrid sorter that is faster than the STL sort. It first radix sorts input streams into substreams that fit into the CPU cache. This is done in a cache-friendly manner by splitting streams based on cache size. The substreams are then merged using a loser tree merge, which has better memory access patterns than a heap-based priority queue. Testing showed the hybrid sort was 2-6 times faster than STL sort and scaled well on multi-core CPUs.
Recommended
Skirt Weights
The document provides details about a proposed Skirt Weight product from Swarovski. The Skirt Weight is a thin pin that slips through fabric to hold skirts down and can be accessorized with Swarovski crystals. The document outlines Swarovski's SWOT analysis and discusses targeting working women and college/high school girls. It describes the marketing mix of product, price, placement and promotion strategies to maximize profit through the Skirt Weight.
Production process of Shirt
This document provides information about the shirt manufacturing process at Alema Textile (Pvt.) Ltd. It begins with an introduction to the student submitting the report, Jotan Banik, and includes their name, ID number, and department. The next sections provide an overview of Alema Textile, including its vision, mission, products, markets, and factory information.
The core of the document is the description of Alema Textile's shirt manufacturing process. This includes 14 main steps: design, dyeing, printing, cutting, shaping, serial numbering, sewing, washing, drying, ironing, folding, packing, leveling, and bundling. It provides details on the processes and equipment used at
Programming the Cell Processor A simple raytracer from pseudo-code to spu-code
This document provides an overview of programming the Cell processor by describing how to optimize a raytracing algorithm for parallel execution across the Synergistic Processing Elements (SPEs) of the Cell. It discusses strategies like partitioning the image into rows for each SPE to process, using vectors and SIMD instructions to perform the 3D math calculations efficiently, avoiding branches by restructuring code, and leveraging direct memory access (DMA) to transfer data effectively between the SPEs and main processor. The document also notes more advanced techniques like adaptive work partitioning, object caching, and dynamic code loading that could further improve a complex raytracer's performance on the Cell architecture.
32bit Cortex Arduinoの布教とラパイド実験のススメ
The document discusses the capabilities of the Raspberry Pi compared to an Arduino. It summarizes that the Raspberry Pi has:
1) A 32-bit CPU running at 84MHz compared to the Arduino's 8-bit AVR CPU.
2) More memory resources including 96KB of SRAM and 512KB of flash.
3) Advanced peripherals including 53 GPIO pins, 5 UARTs, SPI, CAN and PWM interfaces well-suited for sensor reading, valve control, and analog output.
Using ARM Dev.Board in physical experimental instruments
This document discusses using ARM development boards for physical experimental instruments. It provides examples of the Raspberry Pi and STM32 microcontrollers, comparing their interfaces, development environments, and use in prototypes that require high-speed digital-to-analog and analog-to-digital conversion with Ethernet connectivity. Prototypes achieved update times of 5us or less while maintaining real-time data transfer capabilities. Future plans include higher resolution converters and combining STM and Raspberry Pi units for scalable real-time control.
DDR3
DDR3 is an evolution of DDR2 RAM that provides faster speeds, lower power consumption, and other improvements. Key features of DDR3 include higher clock frequencies up to 1600MHz, lower voltage of 1.5V, 8-bit prefetch, on-die termination for better signal quality, and fly-by topology. DDR3 also has read/write leveling to calibrate timing, lower signaling standards for reduced power/noise, and improved routing guidelines.
Memory Interfaces & Controllers - Sandeep Kulkarni, Lattice
This document summarizes different types of digital memory including SRAM, DRAM, EEPROM, and FLASH memory. It describes their characteristics such as volatility, refresh requirements, and density. The document also discusses various subtypes of these memories like SDRAM, DDR SDRAM, DDR2, DDR3 and their features. Memory interfaces, controllers and key timing parameters are explained. Market trends showing technology transition and declining price per bit are highlighted.
Cache aware hybrid sorter
The document describes a cache-aware hybrid sorter that is faster than the STL sort. It first radix sorts input streams into substreams that fit into the CPU cache. This is done in a cache-friendly manner by splitting streams based on cache size. The substreams are then merged using a loser tree merge, which has better memory access patterns than a heap-based priority queue. Testing showed the hybrid sort was 2-6 times faster than STL sort and scaled well on multi-core CPUs.
London Spark Meetup Project Tungsten Oct 12 2015
Building on a previous talk about how Spark beat Hadoop @ 100TB Daytona GraySort, we present low-level details of Project Tungsten which includes many CPU and Memory optimizations.
Insecure Obsolete and Trivial - The Real IOT
This document summarizes a presentation about insecure and obsolete Internet of Things (IoT) devices. It discusses how to obtain old IoT devices, disassemble them to identify components, reverse engineer interfaces like UART and JTAG, extract file systems, and use tools like OpenOCD to hack the firmware. It also covers software-defined radios and how emergency sirens can potentially be hacked by spoofing radio signals. The presentation aims to show how trivially many IoT devices can be hacked and encourages securing obsolete technology before it becomes a bigger problem.
Designing High Performance Computing Architectures for Reliable Space Applica...
This document summarizes Fisnik Kraja's PhD defense on designing high performance computing architectures for reliable space applications. Kraja proposed an architecture using parallel processing nodes connected via a radiation-hardened management unit. Benchmarking of the 2DSSAR image reconstruction application showed optimizing for shared memory, distributed memory, and heterogeneous CPU/GPU systems. The best performance was achieved using a heterogeneous node with a multi-core CPU and dual GPUs, providing a 34.46x speedup. Kraja's conclusions recommended a design using powerful shared memory parallel processing nodes each with CPUs, GPUs, and distributed memory only if multiple nodes are needed.
Dsp ajal
digital signal processing
Computer Architectures for signal processing
Harvard Architecture, Pipelining, Multiplier
Accumulator, Special Instructions for DSP, extended
Parallelism,General Purpose DSP Processors,
Implementation of DSP Algorithms for var
ious operations,Special purpose DSP
Hardware,Hardware Digital filters and FFT processors,
Case study and overview of TMS320
series processor, ADSP 21XX processor
1. hardware basics
This document provides an overview of CPU hardware, including:
- A CPU contains many transistors and acts as the miniature calculator of a computer using a very fast clock.
- There are two main CPU architectures: RISC and CISC. RISC includes ARM and MIPS, while CISC includes x86 and VAX.
- CPUs use caches, have either little-endian or big-endian instruction ordering, can support multiple threads, and come in 32-bit or 64-bit varieties.
DDR, GDDR, HBM SDRAM Memory
Double Data Rate Synchronous Dynamic Random-Access Memory, officially abbreviated as DDR SDRAM, is a double data rate (DDR) synchronous dynamic random-access memory (SDRAM) class of memory integrated circuits used in computers. DDR SDRAM, also retroactively called DDR1 SDRAM, has been superseded by DDR2 SDRAM, DDR3 SDRAM, and DDR4 SDRAM, and soon will be superseded by DDR5 SDRAM. None of its successors are forward or backward compatible with DDR1 SDRAM, meaning DDR2, DDR3, DDR4 and DDR5 memory modules will not work in DDR1-equipped motherboards, and vice versa.
Compared to single data rate (SDR) SDRAM, the DDR SDRAM interface makes higher transfer rates possible by more strict control of the timing of the electrical data and clock signals. Implementations often have to use schemes such as phase-locked loops and self-calibration to reach the required timing accuracy.[4][5] The interface uses double pumping (transferring data on both the rising and falling edges of the clock signal) to double data bus bandwidth without a corresponding increase in clock frequency. One advantage of keeping the clock frequency down is that it reduces the signal integrity requirements on the circuit board connecting the memory to the controller. The name "double data rate" refers to the fact that a DDR SDRAM with a certain clock frequency achieves nearly twice the bandwidth of a SDR SDRAM running at the same clock frequency, due to this double pumping.
DDR, GDDR, HBM Memory : Presentation
Prepared a presentation of:
DDR, GDDR, HBM Memory
While studying the course Concurrent Data Strcutures.
23 Oct 2020
Lec07
The document discusses peripherals and their interfacing with the central processing unit (CPU). It defines peripherals as devices outside the CPU and memory that are connected via interfaces. It describes different types of peripherals like disks, displays, audio devices. It explains the different methods of interfacing peripherals including memory mapping, I/O ports, interrupts. It also provides examples of interfacing memory and parallel/serial peripherals like LEDs and modems.
Cuda tutorial
This document discusses GPU computing with CUDA and NVIDIA Tesla hardware. It provides an overview of GPU computing and how it differs from CPU computing in being optimized for data-parallel throughput rather than low latency. It also describes the key specifications of the NVIDIA Tesla C1060 GPU and Tesla streaming multiprocessor. Finally, it outlines the CUDA parallel computing architecture and programming model, including how applications use the GPU as a coprocessor through kernels launched from the CPU.
Infrared simulation and processing on Nvidia platforms
This document discusses infrared simulation and processing on Nvidia platforms. It covers using 3D simulation to generate training data for computer vision and AI models since capturing and labeling real infrared data can be expensive. The simulation includes generating temperature maps, distance maps, and glitter effects. It also discusses challenges with infrared cameras like noise and data transfer. Sensor simulation models noise, lens effects, motion blur, and other factors. Frame processing techniques like inverse point spread function and non-uniformity correction are covered. Target acquisition and tracking algorithms like the double filter and Kalman filtering are also summarized. Finally, it discusses using Nvidia technologies like Rivermax for high bandwidth streaming of raw infrared video to GPUs for edge processing.
OSINT RF Reverse Engineering by Marc Newlin
IoT devices frequently include obscure RF transceivers with little or no documentation, which can hinder the reverse engineering research process. Fortunately, regulatory bodies like the United States’ FCC contain a wealth of useful information.
In order to certify wireless devices for sale in different markets, manufacturers must submit their products to test labs which evaluate the behavior of their RF emissions. The test reports often contain detailed physical layer operating characteristics, including RF channels, modulation, and frequency hopping behavior.
By translating regulatory test reports into GNU Radio flow graphs, a researcher is able to focus their efforts on understanding packet formats and protocol behavior instead of grinding away at the physical layer. In this talk, I will discuss the techniques I used while researching the MouseJack vulnerabilities, which allowed me to expedite the process of evaluating a large number of vulnerable devices.
Talk Outline
Overview of various regulatory bodies (FCC, KCC/MSIP, IC, etc), and the data they make publicly available
Discussion of the official and third party tools to query regulatory bodies for specific device information
Using internal device photos from regulatory bodies to identify transceiver part numbers
Using test reports to identify physical layer operating characteristics
Building a GNU Radio flow graph based on information gathered from regulatory test reports or transceiver spec sheets
Sniffing device traffic, inferring operating behavior, and building out a model of the device communication protocol
Nick Fisk - low latency Ceph
This document discusses optimizing Ceph latency through hardware design. It finds that CPU frequency has a significant impact on latency, with higher frequencies resulting in lower latencies. Testing shows 4KB write latency of 2.4ms at 900MHz but 694us at higher frequencies. The document also discusses how CPU power states that wake slowly, like C6 at 85us, can negatively impact latency. Overall it advocates designing hardware with fast CPUs and avoiding slower cores or dual sockets to minimize latency in Ceph deployments.
Argonne's Theta Supercomputer Architecture
The document summarizes the architecture of the Argonne Cray XC40 KNL system called Theta. Key points include:
- Theta has 3,624 nodes with Intel Xeon Phi processors totaling 231,936 cores and 736 TB of memory.
- The Xeon Phi processors are Knights Landing chips running at 1.3GHz with 64 cores each and support the new AVX-512 instruction set.
- The system provides 10 PF of peak performance and uses Cray's high-speed Aries interconnect in a dragonfly topology.
- Benchmark results show strong floating point and memory bandwidth performance from the Knights Landing processors.
CUDA
The document discusses Compute Unified Device Architecture (CUDA) and how graphics processing units (GPUs) can be used for general-purpose parallel computing. It notes that CPUs have limitations for parallel processing while GPUs are well-suited for parallel workloads due to their high number of threads. The document provides an example of a basic "Hello World" GPU program to illustrate GPU programming and architecture concepts like grids, blocks, and threads. It also mentions several programming languages and libraries that can be used to develop CUDA applications.
FPGA Based RGB LED Display
This document describes an FPGA-based RGB LED tiling system. The system uses an FPGA to control an LED matrix and communicate with a PC over UART. It stores color data for each LED in block RAM. The FPGA generates PWM signals and reads color values from RAM to drive the LEDs. A Python GUI on the PC decodes video frames into RGB arrays, converts them to a format compatible with the FPGA RAM, and transmits the data over UART.
Building a robot with the .Net Micro Framework
This document summarizes information about building a robot using the .NET Micro Framework (NetMF). It discusses NetMF features like using Visual Studio as an IDE and programming in C#. It also reviews some NetMF compatible hardware options and provides an example of building a tank bot robot with components like a FEZ Panda II mainboard, motors, sensors and more. Code examples are provided for using digital I/O, interrupts, analog I/O and other NetMF features to control the robot.
DEF CON 23 - DAKAHUNA and SATANLAWZ - introduction to sdr and wifi village
This document provides an agenda and overview for an introduction to software defined radio (SDR) and the Wireless Village at DEFCON. The 45-minute presentation will cover ham radio transceivers, SDR receivers and transmitters, antenna theory, common SDR challenges, and how to apply these concepts at the Wireless Village. It includes lists of recommended hardware, specifications for different types of ham radio transceivers, diagrams explaining SDR concepts, and tips for working with antennas and reducing noise. Attendees are encouraged to participate in hands-on workshops and challenges at the Wireless Village applying SDR and wireless penetration testing skills.
IPv6 Fundamentals & Securities
- IPv6 is needed to address the impending exhaustion of IPv4 address space. It features a 128-bit address compared to 32-bit in IPv4, vastly expanding the available addresses.
- Security issues in transitioning from IPv4 to IPv6 include weaknesses in enumeration, scanning and managing the large IPv6 address space. Firewalls and other perimeter defenses must also protect both IPv4 and IPv6 networks to prevent bypass.
- Attacks can exploit protocols like neighbor discovery in IPv6, as well as vulnerabilities in applications that operate over both IPv4 and IPv6. Proper implementation and maintenance of defenses is needed to secure the transition.
BlackHat 2009 - Hacking Zigbee Chips (slides)
This document discusses a 16-bit rootkit and second generation Zigbee chips. It describes how the rootkit works by proxying a microcontroller's interrupt vector table to gain control of incoming packets. It also examines vulnerabilities in early Zigbee chips like the EM250 and CC2430 that exposed cryptographic keys due to debug interfaces and memory layout issues. Later generations of chips aim to address these security flaws.
pic16f877.pdf
This document provides an overview and specifications for the PIC16F87X family of microcontrollers. It describes the key features including:
- An 8-bit RISC CPU that can operate at up to 20MHz with 35 single-cycle instructions.
- Up to 8K bytes of FLASH program memory and 368 bytes of data memory (RAM).
- Timers, capture/compare modules, serial communications interfaces, and a 10-bit analog-to-digital converter.
- Low power consumption of under 1uA in standby mode and 0.6mA at 3V and 4MHz operation.
- Programming and debugging support via ICSP and debugging pins.
- Commercial, industrial,
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
More Related Content
Similar to Staggering spi performance for arduino
London Spark Meetup Project Tungsten Oct 12 2015
Building on a previous talk about how Spark beat Hadoop @ 100TB Daytona GraySort, we present low-level details of Project Tungsten which includes many CPU and Memory optimizations.
Insecure Obsolete and Trivial - The Real IOT
This document summarizes a presentation about insecure and obsolete Internet of Things (IoT) devices. It discusses how to obtain old IoT devices, disassemble them to identify components, reverse engineer interfaces like UART and JTAG, extract file systems, and use tools like OpenOCD to hack the firmware. It also covers software-defined radios and how emergency sirens can potentially be hacked by spoofing radio signals. The presentation aims to show how trivially many IoT devices can be hacked and encourages securing obsolete technology before it becomes a bigger problem.
Designing High Performance Computing Architectures for Reliable Space Applica...
This document summarizes Fisnik Kraja's PhD defense on designing high performance computing architectures for reliable space applications. Kraja proposed an architecture using parallel processing nodes connected via a radiation-hardened management unit. Benchmarking of the 2DSSAR image reconstruction application showed optimizing for shared memory, distributed memory, and heterogeneous CPU/GPU systems. The best performance was achieved using a heterogeneous node with a multi-core CPU and dual GPUs, providing a 34.46x speedup. Kraja's conclusions recommended a design using powerful shared memory parallel processing nodes each with CPUs, GPUs, and distributed memory only if multiple nodes are needed.
Dsp ajal
digital signal processing
Computer Architectures for signal processing
Harvard Architecture, Pipelining, Multiplier
Accumulator, Special Instructions for DSP, extended
Parallelism,General Purpose DSP Processors,
Implementation of DSP Algorithms for var
ious operations,Special purpose DSP
Hardware,Hardware Digital filters and FFT processors,
Case study and overview of TMS320
series processor, ADSP 21XX processor
1. hardware basics
This document provides an overview of CPU hardware, including:
- A CPU contains many transistors and acts as the miniature calculator of a computer using a very fast clock.
- There are two main CPU architectures: RISC and CISC. RISC includes ARM and MIPS, while CISC includes x86 and VAX.
- CPUs use caches, have either little-endian or big-endian instruction ordering, can support multiple threads, and come in 32-bit or 64-bit varieties.
DDR, GDDR, HBM SDRAM Memory
Double Data Rate Synchronous Dynamic Random-Access Memory, officially abbreviated as DDR SDRAM, is a double data rate (DDR) synchronous dynamic random-access memory (SDRAM) class of memory integrated circuits used in computers. DDR SDRAM, also retroactively called DDR1 SDRAM, has been superseded by DDR2 SDRAM, DDR3 SDRAM, and DDR4 SDRAM, and soon will be superseded by DDR5 SDRAM. None of its successors are forward or backward compatible with DDR1 SDRAM, meaning DDR2, DDR3, DDR4 and DDR5 memory modules will not work in DDR1-equipped motherboards, and vice versa.
Compared to single data rate (SDR) SDRAM, the DDR SDRAM interface makes higher transfer rates possible by more strict control of the timing of the electrical data and clock signals. Implementations often have to use schemes such as phase-locked loops and self-calibration to reach the required timing accuracy.[4][5] The interface uses double pumping (transferring data on both the rising and falling edges of the clock signal) to double data bus bandwidth without a corresponding increase in clock frequency. One advantage of keeping the clock frequency down is that it reduces the signal integrity requirements on the circuit board connecting the memory to the controller. The name "double data rate" refers to the fact that a DDR SDRAM with a certain clock frequency achieves nearly twice the bandwidth of a SDR SDRAM running at the same clock frequency, due to this double pumping.
DDR, GDDR, HBM Memory : Presentation
Prepared a presentation of:
DDR, GDDR, HBM Memory
While studying the course Concurrent Data Strcutures.
23 Oct 2020
Lec07
The document discusses peripherals and their interfacing with the central processing unit (CPU). It defines peripherals as devices outside the CPU and memory that are connected via interfaces. It describes different types of peripherals like disks, displays, audio devices. It explains the different methods of interfacing peripherals including memory mapping, I/O ports, interrupts. It also provides examples of interfacing memory and parallel/serial peripherals like LEDs and modems.
Cuda tutorial
This document discusses GPU computing with CUDA and NVIDIA Tesla hardware. It provides an overview of GPU computing and how it differs from CPU computing in being optimized for data-parallel throughput rather than low latency. It also describes the key specifications of the NVIDIA Tesla C1060 GPU and Tesla streaming multiprocessor. Finally, it outlines the CUDA parallel computing architecture and programming model, including how applications use the GPU as a coprocessor through kernels launched from the CPU.
Infrared simulation and processing on Nvidia platforms
This document discusses infrared simulation and processing on Nvidia platforms. It covers using 3D simulation to generate training data for computer vision and AI models since capturing and labeling real infrared data can be expensive. The simulation includes generating temperature maps, distance maps, and glitter effects. It also discusses challenges with infrared cameras like noise and data transfer. Sensor simulation models noise, lens effects, motion blur, and other factors. Frame processing techniques like inverse point spread function and non-uniformity correction are covered. Target acquisition and tracking algorithms like the double filter and Kalman filtering are also summarized. Finally, it discusses using Nvidia technologies like Rivermax for high bandwidth streaming of raw infrared video to GPUs for edge processing.
OSINT RF Reverse Engineering by Marc Newlin
IoT devices frequently include obscure RF transceivers with little or no documentation, which can hinder the reverse engineering research process. Fortunately, regulatory bodies like the United States’ FCC contain a wealth of useful information.
In order to certify wireless devices for sale in different markets, manufacturers must submit their products to test labs which evaluate the behavior of their RF emissions. The test reports often contain detailed physical layer operating characteristics, including RF channels, modulation, and frequency hopping behavior.
By translating regulatory test reports into GNU Radio flow graphs, a researcher is able to focus their efforts on understanding packet formats and protocol behavior instead of grinding away at the physical layer. In this talk, I will discuss the techniques I used while researching the MouseJack vulnerabilities, which allowed me to expedite the process of evaluating a large number of vulnerable devices.
Talk Outline
Overview of various regulatory bodies (FCC, KCC/MSIP, IC, etc), and the data they make publicly available
Discussion of the official and third party tools to query regulatory bodies for specific device information
Using internal device photos from regulatory bodies to identify transceiver part numbers
Using test reports to identify physical layer operating characteristics
Building a GNU Radio flow graph based on information gathered from regulatory test reports or transceiver spec sheets
Sniffing device traffic, inferring operating behavior, and building out a model of the device communication protocol
Nick Fisk - low latency Ceph
This document discusses optimizing Ceph latency through hardware design. It finds that CPU frequency has a significant impact on latency, with higher frequencies resulting in lower latencies. Testing shows 4KB write latency of 2.4ms at 900MHz but 694us at higher frequencies. The document also discusses how CPU power states that wake slowly, like C6 at 85us, can negatively impact latency. Overall it advocates designing hardware with fast CPUs and avoiding slower cores or dual sockets to minimize latency in Ceph deployments.
Argonne's Theta Supercomputer Architecture
The document summarizes the architecture of the Argonne Cray XC40 KNL system called Theta. Key points include:
- Theta has 3,624 nodes with Intel Xeon Phi processors totaling 231,936 cores and 736 TB of memory.
- The Xeon Phi processors are Knights Landing chips running at 1.3GHz with 64 cores each and support the new AVX-512 instruction set.
- The system provides 10 PF of peak performance and uses Cray's high-speed Aries interconnect in a dragonfly topology.
- Benchmark results show strong floating point and memory bandwidth performance from the Knights Landing processors.
CUDA
The document discusses Compute Unified Device Architecture (CUDA) and how graphics processing units (GPUs) can be used for general-purpose parallel computing. It notes that CPUs have limitations for parallel processing while GPUs are well-suited for parallel workloads due to their high number of threads. The document provides an example of a basic "Hello World" GPU program to illustrate GPU programming and architecture concepts like grids, blocks, and threads. It also mentions several programming languages and libraries that can be used to develop CUDA applications.
FPGA Based RGB LED Display
This document describes an FPGA-based RGB LED tiling system. The system uses an FPGA to control an LED matrix and communicate with a PC over UART. It stores color data for each LED in block RAM. The FPGA generates PWM signals and reads color values from RAM to drive the LEDs. A Python GUI on the PC decodes video frames into RGB arrays, converts them to a format compatible with the FPGA RAM, and transmits the data over UART.
Building a robot with the .Net Micro Framework
This document summarizes information about building a robot using the .NET Micro Framework (NetMF). It discusses NetMF features like using Visual Studio as an IDE and programming in C#. It also reviews some NetMF compatible hardware options and provides an example of building a tank bot robot with components like a FEZ Panda II mainboard, motors, sensors and more. Code examples are provided for using digital I/O, interrupts, analog I/O and other NetMF features to control the robot.
DEF CON 23 - DAKAHUNA and SATANLAWZ - introduction to sdr and wifi village
This document provides an agenda and overview for an introduction to software defined radio (SDR) and the Wireless Village at DEFCON. The 45-minute presentation will cover ham radio transceivers, SDR receivers and transmitters, antenna theory, common SDR challenges, and how to apply these concepts at the Wireless Village. It includes lists of recommended hardware, specifications for different types of ham radio transceivers, diagrams explaining SDR concepts, and tips for working with antennas and reducing noise. Attendees are encouraged to participate in hands-on workshops and challenges at the Wireless Village applying SDR and wireless penetration testing skills.
IPv6 Fundamentals & Securities
- IPv6 is needed to address the impending exhaustion of IPv4 address space. It features a 128-bit address compared to 32-bit in IPv4, vastly expanding the available addresses.
- Security issues in transitioning from IPv4 to IPv6 include weaknesses in enumeration, scanning and managing the large IPv6 address space. Firewalls and other perimeter defenses must also protect both IPv4 and IPv6 networks to prevent bypass.
- Attacks can exploit protocols like neighbor discovery in IPv6, as well as vulnerabilities in applications that operate over both IPv4 and IPv6. Proper implementation and maintenance of defenses is needed to secure the transition.
BlackHat 2009 - Hacking Zigbee Chips (slides)
This document discusses a 16-bit rootkit and second generation Zigbee chips. It describes how the rootkit works by proxying a microcontroller's interrupt vector table to gain control of incoming packets. It also examines vulnerabilities in early Zigbee chips like the EM250 and CC2430 that exposed cryptographic keys due to debug interfaces and memory layout issues. Later generations of chips aim to address these security flaws.
pic16f877.pdf
This document provides an overview and specifications for the PIC16F87X family of microcontrollers. It describes the key features including:
- An 8-bit RISC CPU that can operate at up to 20MHz with 35 single-cycle instructions.
- Up to 8K bytes of FLASH program memory and 368 bytes of data memory (RAM).
- Timers, capture/compare modules, serial communications interfaces, and a 10-bit analog-to-digital converter.
- Low power consumption of under 1uA in standby mode and 0.6mA at 3V and 4MHz operation.
- Programming and debugging support via ICSP and debugging pins.
- Commercial, industrial,
Similar to Staggering spi performance for arduino (20)
Designing High Performance Computing Architectures for Reliable Space Applica...
Designing High Performance Computing Architectures for Reliable Space Applica...
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platforms
DEF CON 23 - DAKAHUNA and SATANLAWZ - introduction to sdr and wifi village
DEF CON 23 - DAKAHUNA and SATANLAWZ - introduction to sdr and wifi village
Recently uploaded
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
OpenID AuthZEN Interop Read Out - Authorization
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Recently uploaded (20)
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Staggering spi performance for arduino
- 1. Staggering SPI Performance Or how I learned to stop bit-banging and love SPDR --Dg
- 2. Project background • Multi-led project • Shift register based controllers • Software PWM • 40-60% cpu use target Wi nøt tei a høliday in Sweden this yer?
- 3. Software PWM • 32 rgb leds, 96 individual leds • 12 8-bit shift registers to turn leds on/off • 12 bytes output per round • 128 levels of color desired • ~100Hz refresh rate wanted • 12,800 rounds of sending 12 bytes/second See the løveli lakes
- 4. NO BITBANGING • Bit twiddling may be fun, but it is slow • Order of magnitude slower than hardware spi - numbers later The wonderful telephøne system
- 5. Arduino Hardware SPI • Suggestions for use found online suggest: while(morestuff) { data = morestuff; SPDR = data; while(!(SPSR & (1<<SPIF))); } And mani interesting furry animals
- 6. Waiting for ? • 63.2µs / 12 byte round of output • 12,500 rounds/second - 80% cpu used • 28% of time spent waiting for SPI to be ready • waiting sucks Including the majestic møøse
- 7. Staggered SPI output • Do work while waiting: data = stuff; SPDR=data; while(morestuff) { data = morestuff; while(!(SPSR & (1<<SPIF))); SPDR=data; } A Møøse once bit my sister ...
- 8. Staggered numbers • 49.1µs/round - 61% cpu spent doing PWM • 7% of that still spent spinning for SPSR • More to peel out? No realli! She was Karving her initials on the møøse with the sharpened end of an interspace tøøthbrush given her by Svenge - her brother-in-law - an Oslo dentist and the star of many Norwegian møvies: “The Høt Hands of an Oslo Dentist”, “Fillings of Passion”, “The Huge Mølars of Horst Nordfink”
- 9. Squeezing more • Loop unrolling buys more time • 42.4µs/round - 53% cpu usage SPDR = data; data=morestuff; SPSRWait; SPDR = data; data=morestuff; SPSRWait; SPDR = data; data=morestuff; SPSRWait; SPDR = data; data=morestuff; SPSRWait; .... Mynd you, møøse bites Kan be pretty nasti...
- 10. Bitbanging? • 586.6µs/round • 73% cpu usage • only 1000 rounds - 10 levels of color at 100Hz or 20 at 50Hz • any higher flickers Did you kno that Møøse like bit banging?
- 11. More techniques • Smoother PWM by spreading out work • Hiding SPSR waiting in interrupts • Clock counting, hand assembler • Take advantage of avr opcodes *(--pData) becomes a single opcode (dec and derefence) They dø! Dirty, dirty bit banging møøses...
- 12. Fin Daniel Garcia dgarcia@dgarcia.net --Dg Møøse trained by TUTTE HERMSGERVORDENBROTBORDA