Slides for a college cryptography course at CCSF. Instructor: Sam Bowne
Based on: Understanding Cryptography: A Textbook for Students and Practitioners by Christof Paar, Jan Pelzl, and Bart Preneel, ISBN: 3642041000 ASIN: B014P9I39Q
See https://samsclass.info/141/141_F17.shtml
The document discusses computer security, including its objectives of secrecy, availability, and integrity. It covers security policies, threats like intercepted emails and unauthorized access. The goals of security are outlined as data confidentiality, integrity, and availability. Security mechanisms are used to provide services like confidentiality, integrity, authentication, and access control. Both passive attacks like interception and active attacks like modification are described. The document also discusses security classification, attacks, and tools to achieve security like encryption, public key cryptography, secure communication channels, firewalls, and proxies. It notes the tension between security and other values like ease of use and public safety.
This document provides an overview of encryption and PGP/GPG basics. It discusses the main types of encryption, what PGP and GPG are used for, how to generate and manage keys, import/export keys, encrypt and sign files, and some best practices. The document provides step-by-step instructions for common PGP/GPG tasks like generating keys, uploading them to keyservers, verifying keys, and encrypting/decrypting files.
We discuss the emerging threat and implications of quantum computing technology on the security of cryptosystems currently deployed in applications, and why system designers should consider addressing this risk already in the near term. We then discuss an overview of the current approaches for building quantum safe cryptosystems and their security and performance aspects. We conclude with a glimpse at the state of the art and research challenges in the area of quantum-safe cryptography, including the design of more advanced quantum-safe cryptographic protocols, such as privacy-preserving cryptocurrencies.
This document provides an overview of the RSA algorithm for public-key cryptography. It explains that RSA uses a public key and private key pair, with the public key used for encryption and the private key used for decryption. The security of RSA relies on the difficulty of factoring large prime numbers. It then provides details on how the RSA algorithm works, including choosing two large prime numbers to generate keys, encrypting and decrypting messages, and an example calculation. Potential attacks on RSA like brute force key searching and timing analysis are also summarized.
traditional private/secret/single key cryptography uses one key
Key is shared by both sender and receiver
if the key is disclosed communications are compromised
also known as symmetric, both parties are equal
hence does not protect sender from receiver forging a message & claiming is sent by sender
Public Key Cryptography uses two keys - a public key that can encrypt messages and verify signatures, and a private key that can decrypt messages and create signatures. The RSA algorithm, the most widely used public key algorithm, is based on the mathematical difficulty of factoring large prime numbers. It works by having users generate a public/private key pair using two large prime numbers and performing modular exponentiation. The security of RSA relies on the fact that it is computationally infeasible to derive the private key from the public key and modulus.
Slides for a college cryptography course at CCSF. Instructor: Sam Bowne
Based on: Understanding Cryptography: A Textbook for Students and Practitioners by Christof Paar, Jan Pelzl, and Bart Preneel, ISBN: 3642041000 ASIN: B014P9I39Q
See https://samsclass.info/141/141_F17.shtml
The document discusses computer security, including its objectives of secrecy, availability, and integrity. It covers security policies, threats like intercepted emails and unauthorized access. The goals of security are outlined as data confidentiality, integrity, and availability. Security mechanisms are used to provide services like confidentiality, integrity, authentication, and access control. Both passive attacks like interception and active attacks like modification are described. The document also discusses security classification, attacks, and tools to achieve security like encryption, public key cryptography, secure communication channels, firewalls, and proxies. It notes the tension between security and other values like ease of use and public safety.
This document provides an overview of encryption and PGP/GPG basics. It discusses the main types of encryption, what PGP and GPG are used for, how to generate and manage keys, import/export keys, encrypt and sign files, and some best practices. The document provides step-by-step instructions for common PGP/GPG tasks like generating keys, uploading them to keyservers, verifying keys, and encrypting/decrypting files.
We discuss the emerging threat and implications of quantum computing technology on the security of cryptosystems currently deployed in applications, and why system designers should consider addressing this risk already in the near term. We then discuss an overview of the current approaches for building quantum safe cryptosystems and their security and performance aspects. We conclude with a glimpse at the state of the art and research challenges in the area of quantum-safe cryptography, including the design of more advanced quantum-safe cryptographic protocols, such as privacy-preserving cryptocurrencies.
This document provides an overview of the RSA algorithm for public-key cryptography. It explains that RSA uses a public key and private key pair, with the public key used for encryption and the private key used for decryption. The security of RSA relies on the difficulty of factoring large prime numbers. It then provides details on how the RSA algorithm works, including choosing two large prime numbers to generate keys, encrypting and decrypting messages, and an example calculation. Potential attacks on RSA like brute force key searching and timing analysis are also summarized.
traditional private/secret/single key cryptography uses one key
Key is shared by both sender and receiver
if the key is disclosed communications are compromised
also known as symmetric, both parties are equal
hence does not protect sender from receiver forging a message & claiming is sent by sender
Public Key Cryptography uses two keys - a public key that can encrypt messages and verify signatures, and a private key that can decrypt messages and create signatures. The RSA algorithm, the most widely used public key algorithm, is based on the mathematical difficulty of factoring large prime numbers. It works by having users generate a public/private key pair using two large prime numbers and performing modular exponentiation. The security of RSA relies on the fact that it is computationally infeasible to derive the private key from the public key and modulus.
Message authentication and hash functionomarShiekh1
The document discusses message authentication and hash functions. It covers security requirements including integrity, authentication and non-repudiation. It describes different authentication functions such as message encryption, message authentication codes (MACs), and hash functions. It provides examples of how hash functions work and evaluates the security of hash functions and MACs against brute force and cryptanalytic attacks.
El documento describe el algoritmo RSA de criptografía asimétrica. RSA fue desarrollado por Rivest, Shamir y Adleman y se basa en la dificultad de factorizar números grandes. El algoritmo RSA permite cifrar y firmar mensajes usando llaves públicas y privadas.
We use it every day and we rely on it. But what are the roots of cryptography? How were, for example, the ancient Greeks able to protect information from their enemies? In this talk we will go through 5500 years of developing encryption technologies and look at how these work.
From the Un-Distinguished Lecture Series (http://ws.cs.ubc.ca/~udls/). The talk was given Mar. 23, 2007
Hardware Security Modules (HSMs) are widely use for cryptography key management in many areas such as PKI, card payment, trusted platform modules, etc. However they are rarely used in in-house software development.
This presentation will explain about why we need the key management and its fundamental, overview of HSM and how it take parts in key management, HSM selection criterias, and finally, an idea to make a web service wrapper easier to adopt by developers those lack of knowledge in cryptography programming.
The document discusses public key cryptography based on the discrete logarithm problem (DLP). It defines the DLP and describes some common algorithms for solving it, including the ElGamal cryptosystem, Diffie-Hellman key exchange, baby-step giant-step algorithm, Pohlig-Hellman algorithm, and Pollard's rho algorithm. It also explains how the difficulty of solving the DLP can provide the basis for secure cryptographic systems.
The document discusses various topics related to combinational logic design including:
- The steps in the combinational logic design process including specification, formulation, optimization, technology mapping, and verification.
- Common functional blocks like decoders, encoders, multiplexers and their uses.
- Design of half adders, full adders, half subtractors, full subtractors and binary adders/subtractors.
- Implementation of logic functions using multiplexers and demultiplexers.
- Other topics like parity generators, code converters and hazards in combinational circuits.
This document provides an overview of cryptography. It discusses that cryptography is the practice of secure communication in the presence of others. The purpose of cryptography is to defend against hackers and industrial espionage while securing e-commerce, bank accounts, intellectual property, and avoiding liability. Cryptography provides authentication, privacy, integrity, and non-repudiation. Encryption converts plain text to cipher text using a key while decryption converts cipher text to plain text. Common cryptographic algorithms are secret key cryptography, public key cryptography, and hash functions. Secret key cryptography uses a private key for encryption while public key cryptography uses a public key exchanged over an insecure channel. Hash functions produce a checksum of data. AES encryption is now commonly used and
The document discusses various topics related to artificial intelligence including machine learning applications and demos, a toy machine learning problem, the history of AI from the 1940s to today, bias in AI systems, ethics, the technological singularity, and career opportunities in AI. It provides references and links to external resources for further reading on each topic. Live demonstrations are mentioned on computer vision applications and neural artistic style transfer.
Cryptography is the practice of securing communication and information by converting plaintext into ciphertext. The document provides an introduction to cryptography including its history from ancient times to the present. It discusses terminology like plaintext, encryption, ciphertext, decryption, and keys. Symmetric key cryptography uses a single key for encryption and decryption while asymmetric key cryptography uses two different keys. Examples of symmetric methods are DES, 3DES, AES, and RC4, while RSA is a common asymmetric method. Applications of cryptography include ATMs, email passwords, e-payments, e-commerce, electronic voting, defense services, securing data, and access control.
Elliptic Curve Cryptography and Zero Knowledge ProofArunanand Ta
Elliptic Curve Cryptography and Zero Knowledge Proof
Presentation by Nimish Joseph, at College of Engineering Cherthala, Kerala, India, during Faculty Development Program, on 06-Nov-2013
CNIT 141 8. Public-Key Cryptosystems Based on the DLPSam Bowne
For a college course -- CNIT 140: "Cryptography for Computer Networks" at City College San Francisco
Instructor: Sam Bowne
More info: https://samsclass.info/141/141_F17.shtml
Based on "Understanding Cryptography: A Textbook for Students and Practitioners" by Christof Paar, Jan Pelzl, and Bart Preneel, ISBN: 3642041000
RSA es uno de los algoritmos criptográficos asimétricos más simples y seguros. Se basa en la dificultad de factorizar grandes números en sus primos constituyentes. Una persona genera claves públicas y privadas a partir de números primos grandes. La clave pública se usa para encriptar mensajes, mientras que solo la clave privada puede desencriptarlos. La seguridad radica en que factorizar el número grande es computacionalmente difícil, tomando mucho tiempo incluso para computadoras poderosas.
The document provides information on classical encryption techniques, specifically covering symmetric cipher models, cryptography, cryptanalysis, and attacks. It discusses substitution and transposition techniques, including the Caesar cipher, monoalphabetic cipher, and Playfair cipher. For each technique, it explains the encryption and decryption process, cryptanalysis methods, and provides examples to illustrate how the techniques work.
Slides from the presentation "Modern Cryptography" delivered at Deovxx UK 2013. See Parleys.com for the full video https://www.parleys.com/speaker/5148920c0364bc17fc5697a5
Gives a basic idea of Finite field theory and its uses in Elliptic cure cryptography. ECDLP and Diffie Helman key exchange and Elgamal Encryption with ECC.
This document provides an overview of message authentication and integrity. It discusses the need for authentication in network security and outlines different authentication functions including message encryption, message authentication codes (MACs), and hash functions. It describes how MACs are generated using a secret key and message and provides the requirements for MACs. The document also discusses the MD5 and SHA hash algorithms, explaining their processes and analyzing their security strengths and weaknesses.
This document summarizes a technical seminar on hybrid encryption technology. Hybrid encryption combines both symmetric and asymmetric encryption algorithms to provide increased security. The seminar overviewed hybrid encryption using DES and RSA, as well as RSA and Diffie-Hellman. It also discussed how hybrid encryption can be applied to electronic documents, such as with Adobe Acrobat, to encrypt a document symmetrically but the symmetric key asymmetrically for different recipients. The seminar concluded that hybrid encryption removes the key distribution problem and increases security over only using a single cryptographic algorithm.
This document discusses network security and cryptography. It begins by defining a network and some common network threats. It then discusses network security goals like avoiding denial of service attacks. The document outlines different cryptography techniques like symmetric and asymmetric key cryptography. Symmetric cryptography uses a shared key while asymmetric uses public and private keys. Specific algorithms like RSA and DES are described. The document proposes combining numerals and alphabets in encryption to increase security. It concludes cryptography can securely hide and transmit data through encryption and decryption.
This document discusses a lecture on hardware acceleration. It begins by providing background on Moore's law and how increasing transistor density led to issues with power consumption and thermal constraints. This motivated the evolution of specialized hardware acceleration to improve performance. The lecture then covers topics like coprocessors vs accelerators, common acceleration techniques, and examples of hardware acceleration. It also discusses challenges like debugging and coherency when designing accelerated systems.
This document discusses various techniques for optimizing neural networks for efficient inference including:
1. NVIDIA TensorRT which provides optimizations like layer and tensor fusion, kernel auto-tuning, and precision calibration to improve throughput, efficiency, latency, and memory usage.
2. TensorFlow Lite which converts TensorFlow models into an efficient format for mobile and embedded devices and provides optimizations like quantization, pruning, and model topology transforms to reduce latency, memory usage, and improve power efficiency.
3. Deploying optimized models to edge devices using platforms like Coral or Raspberry Pi enables on-device machine learning with benefits like improved privacy, performance, and offline operation.
Message authentication and hash functionomarShiekh1
The document discusses message authentication and hash functions. It covers security requirements including integrity, authentication and non-repudiation. It describes different authentication functions such as message encryption, message authentication codes (MACs), and hash functions. It provides examples of how hash functions work and evaluates the security of hash functions and MACs against brute force and cryptanalytic attacks.
El documento describe el algoritmo RSA de criptografía asimétrica. RSA fue desarrollado por Rivest, Shamir y Adleman y se basa en la dificultad de factorizar números grandes. El algoritmo RSA permite cifrar y firmar mensajes usando llaves públicas y privadas.
We use it every day and we rely on it. But what are the roots of cryptography? How were, for example, the ancient Greeks able to protect information from their enemies? In this talk we will go through 5500 years of developing encryption technologies and look at how these work.
From the Un-Distinguished Lecture Series (http://ws.cs.ubc.ca/~udls/). The talk was given Mar. 23, 2007
Hardware Security Modules (HSMs) are widely use for cryptography key management in many areas such as PKI, card payment, trusted platform modules, etc. However they are rarely used in in-house software development.
This presentation will explain about why we need the key management and its fundamental, overview of HSM and how it take parts in key management, HSM selection criterias, and finally, an idea to make a web service wrapper easier to adopt by developers those lack of knowledge in cryptography programming.
The document discusses public key cryptography based on the discrete logarithm problem (DLP). It defines the DLP and describes some common algorithms for solving it, including the ElGamal cryptosystem, Diffie-Hellman key exchange, baby-step giant-step algorithm, Pohlig-Hellman algorithm, and Pollard's rho algorithm. It also explains how the difficulty of solving the DLP can provide the basis for secure cryptographic systems.
The document discusses various topics related to combinational logic design including:
- The steps in the combinational logic design process including specification, formulation, optimization, technology mapping, and verification.
- Common functional blocks like decoders, encoders, multiplexers and their uses.
- Design of half adders, full adders, half subtractors, full subtractors and binary adders/subtractors.
- Implementation of logic functions using multiplexers and demultiplexers.
- Other topics like parity generators, code converters and hazards in combinational circuits.
This document provides an overview of cryptography. It discusses that cryptography is the practice of secure communication in the presence of others. The purpose of cryptography is to defend against hackers and industrial espionage while securing e-commerce, bank accounts, intellectual property, and avoiding liability. Cryptography provides authentication, privacy, integrity, and non-repudiation. Encryption converts plain text to cipher text using a key while decryption converts cipher text to plain text. Common cryptographic algorithms are secret key cryptography, public key cryptography, and hash functions. Secret key cryptography uses a private key for encryption while public key cryptography uses a public key exchanged over an insecure channel. Hash functions produce a checksum of data. AES encryption is now commonly used and
The document discusses various topics related to artificial intelligence including machine learning applications and demos, a toy machine learning problem, the history of AI from the 1940s to today, bias in AI systems, ethics, the technological singularity, and career opportunities in AI. It provides references and links to external resources for further reading on each topic. Live demonstrations are mentioned on computer vision applications and neural artistic style transfer.
Cryptography is the practice of securing communication and information by converting plaintext into ciphertext. The document provides an introduction to cryptography including its history from ancient times to the present. It discusses terminology like plaintext, encryption, ciphertext, decryption, and keys. Symmetric key cryptography uses a single key for encryption and decryption while asymmetric key cryptography uses two different keys. Examples of symmetric methods are DES, 3DES, AES, and RC4, while RSA is a common asymmetric method. Applications of cryptography include ATMs, email passwords, e-payments, e-commerce, electronic voting, defense services, securing data, and access control.
Elliptic Curve Cryptography and Zero Knowledge ProofArunanand Ta
Elliptic Curve Cryptography and Zero Knowledge Proof
Presentation by Nimish Joseph, at College of Engineering Cherthala, Kerala, India, during Faculty Development Program, on 06-Nov-2013
CNIT 141 8. Public-Key Cryptosystems Based on the DLPSam Bowne
For a college course -- CNIT 140: "Cryptography for Computer Networks" at City College San Francisco
Instructor: Sam Bowne
More info: https://samsclass.info/141/141_F17.shtml
Based on "Understanding Cryptography: A Textbook for Students and Practitioners" by Christof Paar, Jan Pelzl, and Bart Preneel, ISBN: 3642041000
RSA es uno de los algoritmos criptográficos asimétricos más simples y seguros. Se basa en la dificultad de factorizar grandes números en sus primos constituyentes. Una persona genera claves públicas y privadas a partir de números primos grandes. La clave pública se usa para encriptar mensajes, mientras que solo la clave privada puede desencriptarlos. La seguridad radica en que factorizar el número grande es computacionalmente difícil, tomando mucho tiempo incluso para computadoras poderosas.
The document provides information on classical encryption techniques, specifically covering symmetric cipher models, cryptography, cryptanalysis, and attacks. It discusses substitution and transposition techniques, including the Caesar cipher, monoalphabetic cipher, and Playfair cipher. For each technique, it explains the encryption and decryption process, cryptanalysis methods, and provides examples to illustrate how the techniques work.
Slides from the presentation "Modern Cryptography" delivered at Deovxx UK 2013. See Parleys.com for the full video https://www.parleys.com/speaker/5148920c0364bc17fc5697a5
Gives a basic idea of Finite field theory and its uses in Elliptic cure cryptography. ECDLP and Diffie Helman key exchange and Elgamal Encryption with ECC.
This document provides an overview of message authentication and integrity. It discusses the need for authentication in network security and outlines different authentication functions including message encryption, message authentication codes (MACs), and hash functions. It describes how MACs are generated using a secret key and message and provides the requirements for MACs. The document also discusses the MD5 and SHA hash algorithms, explaining their processes and analyzing their security strengths and weaknesses.
This document summarizes a technical seminar on hybrid encryption technology. Hybrid encryption combines both symmetric and asymmetric encryption algorithms to provide increased security. The seminar overviewed hybrid encryption using DES and RSA, as well as RSA and Diffie-Hellman. It also discussed how hybrid encryption can be applied to electronic documents, such as with Adobe Acrobat, to encrypt a document symmetrically but the symmetric key asymmetrically for different recipients. The seminar concluded that hybrid encryption removes the key distribution problem and increases security over only using a single cryptographic algorithm.
This document discusses network security and cryptography. It begins by defining a network and some common network threats. It then discusses network security goals like avoiding denial of service attacks. The document outlines different cryptography techniques like symmetric and asymmetric key cryptography. Symmetric cryptography uses a shared key while asymmetric uses public and private keys. Specific algorithms like RSA and DES are described. The document proposes combining numerals and alphabets in encryption to increase security. It concludes cryptography can securely hide and transmit data through encryption and decryption.
This document discusses a lecture on hardware acceleration. It begins by providing background on Moore's law and how increasing transistor density led to issues with power consumption and thermal constraints. This motivated the evolution of specialized hardware acceleration to improve performance. The lecture then covers topics like coprocessors vs accelerators, common acceleration techniques, and examples of hardware acceleration. It also discusses challenges like debugging and coherency when designing accelerated systems.
This document discusses various techniques for optimizing neural networks for efficient inference including:
1. NVIDIA TensorRT which provides optimizations like layer and tensor fusion, kernel auto-tuning, and precision calibration to improve throughput, efficiency, latency, and memory usage.
2. TensorFlow Lite which converts TensorFlow models into an efficient format for mobile and embedded devices and provides optimizations like quantization, pruning, and model topology transforms to reduce latency, memory usage, and improve power efficiency.
3. Deploying optimized models to edge devices using platforms like Coral or Raspberry Pi enables on-device machine learning with benefits like improved privacy, performance, and offline operation.
This document discusses using RNN-LSTM algorithms to classify music genres based on audio data. It begins with an abstract describing music genre classification and the use of RNN and LSTM algorithms. It then discusses the existing methods, proposed improvements, and experiments conducted. The proposed system uses MFCC features extracted from audio clips to train an LSTM model to classify songs into 10 genres. It achieves a train accuracy of 94% and test accuracy of 75% after training the model on audio clips split into 3-second segments. The document concludes that LSTM networks are well-suited for this task due to their ability to learn long-term dependencies from audio data.
Iaetsd pipelined parallel fft architecture through folding transformationIaetsd Iaetsd
This document presents a new VLSI architecture for a real-time pipeline FFT processor using fused floating point operations. It proposes high radix floating point butterflies implemented with two fused operations: a two-term dot product and add-subtract unit. Both discrete and fused radix processors are compared in terms of area. Higher throughput is achieved using a proposed architecture with conflict-free memory access and a new addressing scheme for radix-16 FFT.
Fast Insights to Optimized Vectorization and Memory Using Cache-aware Rooflin...Intel® Software
Integrated into Intel® Advisor, Cache-aware Roofline Modeling (CARM) provides insight into how an application behaves by helping to determine a) how optimally it works on a given hardware, b) the main factors that limit performance, c) if the workload is memory or compute-bound, and d) the right strategy to improve application performance.
Alex Smola, Professor in the Machine Learning Department, Carnegie Mellon Uni...MLconf
Fast, Cheap and Deep – Scaling Machine Learning: Distributed high throughput machine learning is both a challenge and a key enabling technology. Using a Parameter Server template we are able to distribute algorithms efficiently over multiple GPUs and in the cloud. This allows us to design very fast recommender systems, factorization machines, classifiers, and deep networks. This degree of scalability allows us to tackle computationally expensive problems efficiently, yielding excellent results e.g. in visual question answering.
The increasing demand for computing power in fields such as biology, finance, machine learning is pushing the adoption of reconfigurable hardware in order to keep up with the required performance level at a sustainable power consumption. Within this context, FPGA devices represent an interesting solution as they combine the benefits of power efficiency, performance and flexibility. Nevertheless, the steep learning curve and experience needed to develop efficient FPGA-based systems represents one of the main limiting factor for a broad utilization of such devices.
In this talk, we present CAOS, a framework which helps the application designer in identifying acceleration opportunities and guides through the implementation of the final FPGA-based system. The CAOS platform targets the full stack of the application optimization process, starting from the identification of the kernel functions to accelerate, to the optimization of such kernels and to the generation of the runtime management and the configuration files needed to program the FPGA.
This document proposes a highly parallel semi-dataflow FPGA architecture for accelerating large-scale N-body simulations. The key aspects of the proposed design are: 1) A hardware/software partitioning that accelerates the computationally intensive force calculation step on the FPGA; 2) An optimized data transfer approach to reduce memory traffic; 3) A semi-dataflow architecture providing high parallelism through 48 computation pipelines; and 4) A tiling approach to further improve performance and resource utilization. Experimental results show the design achieves up to 4400 million particle-pairs per second, outperforming CPU and GPU implementations in terms of performance and performance-per-watt.
The document discusses several advanced use cases for profiling applications using the XDS560 Trace tool and Advanced Event Triggering (AET) logic on Texas Instruments processors, including interrupt profiling to analyze interrupt servicing times, statistical profiling to identify functions consuming the most cycles, thread-aware profiling to generate a cycle-accurate execution graph of thread-based applications, and generating a thread-based dynamic call graph from captured trace data.
The document discusses self-optimization techniques for 4G mobile networks. It describes the motivation for self-organizing networks as manual configuration and optimization becomes too complex. It outlines requirements for self-configuration, self-optimization, and self-healing. The vision is for fully distributed self-management without manual network element management. Specific techniques discussed include mobility robustness optimization using parameters like time-to-trigger and handover margins. Simulation results show self-optimization algorithms improving handover success rates. Coverage and capacity optimization techniques like antenna tilt optimization are also summarized.
byteLAKE's expertise across NVIDIA architectures and configurationsbyteLAKE
AI Solutions for Industries | Quality Inspection | Data Insights | AI-accelerated CFD | Self-Checkout | byteLAKE.com
byteLAKE: Empowering Industries with AI Solutions. Embrace cutting-edge technology for advanced quality inspection, data insights, and more. Harness the potential of our CFD Suite, accelerating Computational Fluid Dynamics for heightened productivity. Unlock new possibilities with Cognitive Services: image analytics for precise visual inspection for Manufacturing, sound analytics enabling proactive maintenance for Automotive, and wet line analytics for the Paper Industry. Seamlessly convert data into actionable insights using Data Insights' AI module, enabling advanced predictive maintenance and risk detection. Simplify Restaurant and Retail operations with our efficient self-checkout solution, recognizing meals and groceries and elevating customer satisfaction. Custom AI Development services available for tailored solutions. Discover more at www.byteLAKE.com.
The document describes a project to implement a finite impulse response (FIR) filter on an ADSP-BF537 digital signal processor. It provides background on FIR filters and their properties. The project involved generating filter coefficients in Matlab, programming the FIR algorithm on the DSP board using tools like VisualDSP++, and simulating the lowpass filter output on a spectrum analyzer. Key instruments used included an oscilloscope, spectrum analyzer, function generator, and an evaluation board with the Blackfin DSP processor.
El Barcelona Supercomputing Center (BSC) fue establecido en 2005 y alberga el MareNostrum, uno de los superordenadores más potentes de España. Somos el centro pionero de la supercomputación en España. Nuestra especialidad es la computación de altas prestaciones - también conocida como HPC o High Performance Computing- y nuestra misión es doble: ofrecer infraestructuras y servicio de supercomputación a los científicos españoles y europeos, y generar conocimiento y tecnología para transferirlos a la sociedad. Somos Centro de Excelencia Severo Ochoa, miembros de primer nivel de la infraestructura de investigación europea PRACE (Partnership for Advanced Computing in Europe), y gestionamos la Red Española de Supercomputación (RES). Como centro de investigación, contamos con más de 456 expertos de 45 países, organizados en cuatro grandes áreas de investigación: Ciencias de la computación, Ciencias de la vida, Ciencias de la tierra y aplicaciones computacionales en ciencia e ingeniería.
We build AI and HPC solutions. Expertise: highly optimized AI Engines and HPC Apps.
• HPC: accelerating time to results and adapting complex algorithms to GPU, FPGA, many-CPU architectures.
Leverage byteLAKE expertise in complex algorithms adaptation and optimization for NVIDIA GPUs, Xilinx Alveo FPGAs, Intel, AMD and ARM solutions. From single nodes to clusters.
More: www.byteLAKE.com/en/Alveo
Constant propagation and folding simplifies expressions using known constant values. This eliminates redundant computations and enables further optimizations like strength reduction and dead code elimination. Applying these techniques can improve the efficiency of code.
Title
Hands-on Learning with KubeFlow + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + PyTorch + XGBoost + Airflow + MLflow + Spark + Jupyter + TPU
Video
https://youtu.be/vaB4IM6ySD0
Description
In this workshop, we build real-world machine learning pipelines using TensorFlow Extended (TFX), KubeFlow, and Airflow.
Described in the 2017 paper, TFX is used internally by thousands of Google data scientists and engineers across every major product line within Google.
KubeFlow is a modern, end-to-end pipeline orchestration framework that embraces the latest AI best practices including hyper-parameter tuning, distributed model training, and model tracking.
Airflow is the most-widely used pipeline orchestration framework in machine learning.
Pre-requisites
Modern browser - and that's it!
Every attendee will receive a cloud instance
Nothing will be installed on your local laptop
Everything can be downloaded at the end of the workshop
Location
Online Workshop
Agenda
1. Create a Kubernetes cluster
2. Install KubeFlow, Airflow, TFX, and Jupyter
3. Setup ML Training Pipelines with KubeFlow and Airflow
4. Transform Data with TFX Transform
5. Validate Training Data with TFX Data Validation
6. Train Models with Jupyter, Keras/TensorFlow 2.0, PyTorch, XGBoost, and KubeFlow
7. Run a Notebook Directly on Kubernetes Cluster with KubeFlow
8. Analyze Models using TFX Model Analysis and Jupyter
9. Perform Hyper-Parameter Tuning with KubeFlow
10. Select the Best Model using KubeFlow Experiment Tracking
11. Reproduce Model Training with TFX Metadata Store and Pachyderm
12. Deploy the Model to Production with TensorFlow Serving and Istio
13. Save and Download your Workspace
Key Takeaways
Attendees will gain experience training, analyzing, and serving real-world Keras/TensorFlow 2.0 models in production using model frameworks and open-source tools.
Related Links
1. PipelineAI Home: https://pipeline.ai
2. PipelineAI Community Edition: http://community.pipeline.ai
3. PipelineAI GitHub: https://github.com/PipelineAI/pipeline
4. Advanced Spark and TensorFlow Meetup (SF-based, Global Reach): https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup
5. YouTube Videos: https://youtube.pipeline.ai
6. SlideShare Presentations: https://slideshare.pipeline.ai
7. Slack Support: https://joinslack.pipeline.ai
8. Web Support and Knowledge Base: https://support.pipeline.ai
9. Email Support: support@pipeline.ai
Gene's law, Common gate, kernel Principal Component Analysis, ASIC Physical Design Post-Layout Verification, TSMC180nm, 0.13um IBM CMOS technology, Cadence Virtuoso, FPAA, in Spanish, Bruun E,
The Case for a Signal Oriented Data Stream Management SystemReza Rahimi
This document proposes a signal-oriented data stream management system called WaveScope. It discusses typical applications involving sensor networks, the data and programming model using a domain-specific language called WaveScript, and the system architecture involving query planning, optimization, and distributed execution. Key aspects include managing timing information across different timebases, optimizing queries using both database and signal processing techniques, and supporting archived historical data retrieval.
Design of Scalable FFT architecture for Advanced Wireless Communication Stand...IOSRJECE
Now a day’s numerous wireless communication standards have raised additional stringent requirements on each throughput and flexibility for FFT computation. Advanced wireless systems support multiple standards to satisfy the demands of user application necessities. A wireless system whereas supporting multiple standards should also satisfy performance necessities of these supported standards. Meeting performance requirements of multiple standards is a challenge while designing a system. Fast Fourier transformations, a kernel processing task in communication systems, are studied intensively for efficient software and hardware implementations. To design an efficient system, it's necessary to efficiently design its performance critical component. each system must meet stringent design parameters like high speed, low power, low area, low cost, high flexibility and high scalability, designing FFT processor to support multiple wireless standards whereas meeting the above such performance necessities is a difficult task. This paper proposed a highly efficient scalable architecture, software tools design, and design implementation. The reconstruction of the FFT computation flow is design into a scalable structure. The FFT can be easily expanded for any-point FFT computation. The various parameters satisfied the conditions, gives proper and efficient outputs as compare to other platforms.
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The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.