This presentation contains an overview of novelties in ARMv8-A and details on application binary interface (ABI), memory management unit (MMU), caches and interrupts
Software development in ar mv8 m architecture - yiuArm
This document provides information on ARMv8-M architecture and TrustZone security for microcontrollers. It introduces the Cortex-M23 and Cortex-M33 processors that implement the ARMv8-M architecture. It describes the ARMv8-M sub-profiles and highlights key features of the Cortex-M23 and Cortex-M33 such as enhanced debug capabilities and support for TrustZone security. The document also discusses software development concepts for the ARMv8-M architecture such as separation of secure and non-secure worlds and debug authentication. Finally, it outlines how TrustZone can provide security for Internet of Things applications and endpoints.
The document discusses Linux support for the ARM 64-bit (AArch64) architecture. It covers key aspects of the AArch64 instruction set like 64-bit registers and memory accesses. It describes the exception model with multiple privilege levels and modes for virtualization. It also summarizes the Linux kernel port to AArch64 including boot process, memory management support, and compatibility for 32-bit applications. Future work is outlined to improve platform support and add new features to the AArch64 version of Linux.
customization of a deep learning accelerator, based on NVDLAShien-Chun Luo
This document discusses customizing a deep learning accelerator. It begins with a demonstration of object detection using a Tiny YOLO v1 model on an FPGA-based prototype. It then discusses designing a high-efficiency accelerator with three steps: 1) increasing MAC processing elements and utilization, 2) increasing data supply, and 3) improving energy efficiency. Various neural network models are profiled to analyze memory bandwidth and computational power tradeoffs. The document proposes a customizable architecture and discusses solutions like layer fusion, quantization-aware training, and post-training quantization. Performance estimates using an equation-based profiler for sample models are provided to demonstrate the customized accelerator design.
- GCC for ARMv64 Aarch64 introduced new features such as load-acquire/store-release atomics, larger PC-relative addressing, and AdvSIMD for general purpose floating point math.
- The 64-bit registers include integer, SIMD, and floating point registers that share the same register bank.
- Aarch64 supports LP64 and LLP64 data models to address key OS partners such as Linux/UNIX and Windows.
This document discusses Linux huge pages, including:
- What huge pages are and how they can reduce memory management overhead by allocating larger blocks of memory
- How to configure huge pages on Linux, including installing required packages, mounting the huge page filesystem, and setting kernel parameters
- When huge pages should be configured, such as for data-intensive or latency-sensitive applications like databases, but that testing is required due to disadvantages like reduced swappability
The WHERE clause restrictions depend on the type of statement, type of column, and whether a secondary index is used. For SELECT statements on partition keys, either all keys must be restricted or none. Clustering columns cannot be restricted if preceding ones are not. Secondary indexes allow restricting columns not in the primary key.
This document discusses Intel processors, including the i3, i5, and i7. It introduces each processor and provides an overview of their key features. For each processor, the document also lists examples of models that are available.
- Embedded systems are dedicated computer systems that perform specific tasks. They contain embedded software and hardware components like processors, memory, and I/O devices.
- The software is preloaded into memory like ROM or flash. Embedded systems must operate in real-time with deterministic responses. They are constrained by available memory, processor speed, and power requirements.
- The build process for embedded systems involves selecting a processor, compiling and linking software, and programming the final binary image into memory to load on the target hardware. Common hardware components include power sources, clocks, timers, memory, and I/O devices.
Software development in ar mv8 m architecture - yiuArm
This document provides information on ARMv8-M architecture and TrustZone security for microcontrollers. It introduces the Cortex-M23 and Cortex-M33 processors that implement the ARMv8-M architecture. It describes the ARMv8-M sub-profiles and highlights key features of the Cortex-M23 and Cortex-M33 such as enhanced debug capabilities and support for TrustZone security. The document also discusses software development concepts for the ARMv8-M architecture such as separation of secure and non-secure worlds and debug authentication. Finally, it outlines how TrustZone can provide security for Internet of Things applications and endpoints.
The document discusses Linux support for the ARM 64-bit (AArch64) architecture. It covers key aspects of the AArch64 instruction set like 64-bit registers and memory accesses. It describes the exception model with multiple privilege levels and modes for virtualization. It also summarizes the Linux kernel port to AArch64 including boot process, memory management support, and compatibility for 32-bit applications. Future work is outlined to improve platform support and add new features to the AArch64 version of Linux.
customization of a deep learning accelerator, based on NVDLAShien-Chun Luo
This document discusses customizing a deep learning accelerator. It begins with a demonstration of object detection using a Tiny YOLO v1 model on an FPGA-based prototype. It then discusses designing a high-efficiency accelerator with three steps: 1) increasing MAC processing elements and utilization, 2) increasing data supply, and 3) improving energy efficiency. Various neural network models are profiled to analyze memory bandwidth and computational power tradeoffs. The document proposes a customizable architecture and discusses solutions like layer fusion, quantization-aware training, and post-training quantization. Performance estimates using an equation-based profiler for sample models are provided to demonstrate the customized accelerator design.
- GCC for ARMv64 Aarch64 introduced new features such as load-acquire/store-release atomics, larger PC-relative addressing, and AdvSIMD for general purpose floating point math.
- The 64-bit registers include integer, SIMD, and floating point registers that share the same register bank.
- Aarch64 supports LP64 and LLP64 data models to address key OS partners such as Linux/UNIX and Windows.
This document discusses Linux huge pages, including:
- What huge pages are and how they can reduce memory management overhead by allocating larger blocks of memory
- How to configure huge pages on Linux, including installing required packages, mounting the huge page filesystem, and setting kernel parameters
- When huge pages should be configured, such as for data-intensive or latency-sensitive applications like databases, but that testing is required due to disadvantages like reduced swappability
The WHERE clause restrictions depend on the type of statement, type of column, and whether a secondary index is used. For SELECT statements on partition keys, either all keys must be restricted or none. Clustering columns cannot be restricted if preceding ones are not. Secondary indexes allow restricting columns not in the primary key.
This document discusses Intel processors, including the i3, i5, and i7. It introduces each processor and provides an overview of their key features. For each processor, the document also lists examples of models that are available.
- Embedded systems are dedicated computer systems that perform specific tasks. They contain embedded software and hardware components like processors, memory, and I/O devices.
- The software is preloaded into memory like ROM or flash. Embedded systems must operate in real-time with deterministic responses. They are constrained by available memory, processor speed, and power requirements.
- The build process for embedded systems involves selecting a processor, compiling and linking software, and programming the final binary image into memory to load on the target hardware. Common hardware components include power sources, clocks, timers, memory, and I/O devices.
Nightmare with ceph : Recovery from ceph cluster total failureAndrew Yongjoon Kong
This document discusses issues encountered with a Ceph configuration. The key points are:
- The Ceph configuration had 3 monitor servers and 12 OSDs with a replica count of 2. 4 of the 12 OSDs failed which caused 386 incomplete placement groups.
- Troubleshooting efforts like adjusting the PG count, scrubbing, and killing incomplete PGs did not resolve the issue for 3 weeks.
- The real problem was the missing data from the failed OSDs that was needed to complete the placement groups. Restarting the failed OSDs allowed the backfilling to eventually resolve the incomplete placement groups.
- Lessons learned include having more than 3 replicas, taking frequent snapshots
Dead Lock Analysis of spin_lock() in Linux Kernel (english)Sneeker Yeh
The document discusses spin locks and semaphores in the Linux kernel. It begins with an introduction to the difference between spin locks and semaphores. Spin locks cause threads to continuously loop trying to acquire the lock, while semaphores cause threads to sleep. An example is given of a deadlock scenario that can occur with spin locks. The document then discusses the concept of context in the kernel, including user context, interrupt context, and the control flow during procedure calls and interrupts. Log analysis and examples of double-acquire deadlocks involving spin locks are provided. The document concludes with recommendations for how to prevent deadlocks, such as using spin_lock_irqsave/restore and avoiding semaphores in interrupt context.
This document provides an overview of verb tenses in English including:
- Active and passive tenses such as simple present, present progressive, simple past, past progressive, future, present perfect, past perfect, and future perfect.
- Examples are given for each tense in active and passive voice.
- A cumulative verb tense review test with 10 multiple choice questions assessing understanding of English verb tenses is included at the end.
XPDDS17: Shared Virtual Memory Virtualization Implementation on Xen - Yi Liu,...The Linux Foundation
This document discusses vSVM design on the Xen hypervisor. It proposes exposing SVM extensions in hardware like PASID, ATS and PRQ through virtual IOMMU capabilities in Xen. This would allow guest VMs to utilize shared virtual addressing between CPU and devices. The design would involve shadow extended context entries pointing to guest PASID tables and queuing invalidation of translation caches between host and guest. Currently Xen supports device assignment but not full IOMMU functionality or SVM extensions for shared virtual addressing across VMs.
Alex Matrosov, Cylance
This presentation is meant to serve as an alarum for hardware vendors; BIOS-level security researchers and defenders; and sophisticated stakeholders who want to know the current state of UEFI exposure and threats. The situation is serious but, with the right tools and knowledge, we can prevail.
Hardware vendors such as Intel have introduced new protection technologies like Intel Boot Guard (since Haswell) and BIOS Guard (since Skylake). Boot Guard protects Secure Boot's "Root of Trust" from firmware-based attacks by verifying that a trusted UEFI firmware is booting the platform. When BIOS Guard is active, only guarded modules can modify SPI flash memory; this can protect from persistent implants. Both technologies run on a separate CPU known as the "Authenticated Code Module" (ACM), which isolates them from attackers and also protects from race condition attacks. Those "Guard" technologies are sometimes referred to as UEFI rootkit killers.
Not many details are publicly available regarding these technologies. In this presentation, I will discuss particular implementations on hardware with the most recent Intel CPUs such as Skylake and Kaby Lake. Most of the information has been extracted from UEFI firmware modules by reverse engineering. This DXE and PEI modules cooperated with ACM-code for enabling, configuration and initialization. This talk will also cover some weaknesses of those guards. Where are the BIOS guardians failing? How difficult is it to bypass these protections and install a persistent rootkit from the operating system?
ClickHouse Materialized Views: The Magic ContinuesAltinity Ltd
Slides for the webinar, presented on February 26, 2020
By Robert Hodges, Altinity CEO
Materialized views are the killer feature of ClickHouse, and the Altinity 2019 webinar on how they work was very popular. Join this updated webinar to learn how to use materialized views to speed up queries hundreds of times. We'll cover basic design, last point queries, using TTLs to drop source data, counting unique values, and other useful tricks. Finally, we'll cover recent improvements that make materialized views more useful than ever.
This presentation talks about Real Time Operating Systems (RTOS). Starting with fundamental concepts of OS, this presentation deep dives into Embedded, Real Time and related aspects of an OS. Appropriate examples are referred with Linux as a case-study. Ideal for a beginner to build understanding about RTOS.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Lightweight DNN Processor Design (based on NVDLA)Shien-Chun Luo
https://sites.google.com/view/itri-icl-dla/
(Public Information Share) This is our lightweight DNN inference processor presentation, including a system solution (from Caffe prototxt to HW controls files), hardware features, and an example of object detection (Tiny YOLO) RTL simulation results. We modified open-source NVDLA, small configuration, and developed a RISC-V MCU in this accelerating system.
The document discusses parallelism and techniques to improve computer performance through parallel execution. It describes instruction level parallelism (ILP) where multiple instructions can be executed simultaneously through techniques like pipelining and superscalar processing. It also discusses processor level parallelism using multiple processors or processor cores to concurrently execute different tasks or threads.
This document summarizes multi-core computer architectures. It discusses how single-core CPUs are being replaced by multi-core chips that contain multiple processor cores on a single die. Each core can run threads in parallel for improved performance. The cores share the same memory and socket. Operating systems see each core as a separate processor. Issues around cache coherence and programming for multi-core architectures are also covered at a high level.
The document discusses Windows thread priority levels, which range from 0 to 31 and are divided into variable and real-time levels. All threads are initially created with a normal priority level. Thread priority can be adjusted relative to other threads in the same process using the SetThreadPriority function. Input threads are typically given above normal or highest priority to ensure responsiveness, while background threads may use below normal or lowest priority levels. Processors use priority levels internally, and they can be viewed and changed through various tools.
The document provides an overview of the Linux kernel, including its architecture, startup process, functionality, configuration, and compilation. It discusses the differences between micro and monolithic kernels. It also explains the Linux kernel architecture with user space and kernel space separated by a system call interface. Key aspects covered include process management, memory management, device management, and the kernel build system.
Reliability, Availability, and Serviceability (RAS) on ARM64 status - SFO17-203Linaro
Session ID: SFO17-203
Session Name: Reliability, Availability, and Serviceability (RAS) on ARM64 status - SFO17-203
Speaker: Fu Wei
Track: LEG
★ Session Summary ★
This presentation gives an updated RAS architecture on ARM64 base on RAS extension (in ARMv8.2), SDEI (Software Delegated Exception Interface), APEI, UEFI PI-SMM. Will talk about all the components of the new RAS architecture on ARM64, gives audience the current status and the next step of development.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/sfo17/sfo17-203/
Presentation:
Video: https://www.youtube.com/watch?v=NReFBzbeWi0
---------------------------------------------------
★ Event Details ★
Linaro Connect San Francisco 2017 (SFO17)
25-29 September 2017
Hyatt Regency San Francisco Airport
---------------------------------------------------
Keyword:
'http://www.linaro.org'
'http://connect.linaro.org'
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961
Instruction selection in LLVM maps the compiler intermediate representation (IR) to target instructions by matching nodes in a selection DAG. It performs this mapping greedily by choosing instructions with higher complexity that can cover more operations. The selection DAG is legalized to ensure operations are supported by the target before instruction matching using patterns defined in tablegen files.
This slide provides a basic understanding of hypervisor support in ARM v8 and above processors. And these slides (intent to) give some guidelines to automotive engineers to compare and choose right solution!
QEMU is an emulator that uses dynamic translation to emulate one instruction set architecture (ISA) on another host ISA. It translates guest instructions to an intermediate representation (TCG IR) code, and then compiles the IR code to native host instructions. QEMU employs techniques like translation block caching and chaining to improve the performance of dynamic translation. It also uses helper functions to offload complex operations during translation to improve efficiency.
1. The document provides an overview of the ARM architecture, including details on registers, exceptions, interrupts, memory management and instructions.
2. It describes the evolution of the ARM architecture from ARMv7 to AArch64 (ARMv8), noting changes in registers and exception handling between the versions.
3. The document also covers memory management features like MMU support, different memory types (normal vs device memory), and caching behavior in the ARM architecture.
This presentation is about such well-known vulnerabilities as Meltdown and Spectre and the way they use imperfections of modern processors on an architectural level. In this regard, ARM architecture, which is now a standard in embedded system, is discussed.
The talk was delivered by Andrii Lukin (Senior Software Engineer, Consultant, GlobalLogic) at GlobalLogic Embedded Career Day #2 on February 10, 2018.
More about GlobalLogic Embedded Career Day #2: https://www.globallogic.com/ua/events/globallogic-kyiv-embedded-career-day-2-materials
Nightmare with ceph : Recovery from ceph cluster total failureAndrew Yongjoon Kong
This document discusses issues encountered with a Ceph configuration. The key points are:
- The Ceph configuration had 3 monitor servers and 12 OSDs with a replica count of 2. 4 of the 12 OSDs failed which caused 386 incomplete placement groups.
- Troubleshooting efforts like adjusting the PG count, scrubbing, and killing incomplete PGs did not resolve the issue for 3 weeks.
- The real problem was the missing data from the failed OSDs that was needed to complete the placement groups. Restarting the failed OSDs allowed the backfilling to eventually resolve the incomplete placement groups.
- Lessons learned include having more than 3 replicas, taking frequent snapshots
Dead Lock Analysis of spin_lock() in Linux Kernel (english)Sneeker Yeh
The document discusses spin locks and semaphores in the Linux kernel. It begins with an introduction to the difference between spin locks and semaphores. Spin locks cause threads to continuously loop trying to acquire the lock, while semaphores cause threads to sleep. An example is given of a deadlock scenario that can occur with spin locks. The document then discusses the concept of context in the kernel, including user context, interrupt context, and the control flow during procedure calls and interrupts. Log analysis and examples of double-acquire deadlocks involving spin locks are provided. The document concludes with recommendations for how to prevent deadlocks, such as using spin_lock_irqsave/restore and avoiding semaphores in interrupt context.
This document provides an overview of verb tenses in English including:
- Active and passive tenses such as simple present, present progressive, simple past, past progressive, future, present perfect, past perfect, and future perfect.
- Examples are given for each tense in active and passive voice.
- A cumulative verb tense review test with 10 multiple choice questions assessing understanding of English verb tenses is included at the end.
XPDDS17: Shared Virtual Memory Virtualization Implementation on Xen - Yi Liu,...The Linux Foundation
This document discusses vSVM design on the Xen hypervisor. It proposes exposing SVM extensions in hardware like PASID, ATS and PRQ through virtual IOMMU capabilities in Xen. This would allow guest VMs to utilize shared virtual addressing between CPU and devices. The design would involve shadow extended context entries pointing to guest PASID tables and queuing invalidation of translation caches between host and guest. Currently Xen supports device assignment but not full IOMMU functionality or SVM extensions for shared virtual addressing across VMs.
Alex Matrosov, Cylance
This presentation is meant to serve as an alarum for hardware vendors; BIOS-level security researchers and defenders; and sophisticated stakeholders who want to know the current state of UEFI exposure and threats. The situation is serious but, with the right tools and knowledge, we can prevail.
Hardware vendors such as Intel have introduced new protection technologies like Intel Boot Guard (since Haswell) and BIOS Guard (since Skylake). Boot Guard protects Secure Boot's "Root of Trust" from firmware-based attacks by verifying that a trusted UEFI firmware is booting the platform. When BIOS Guard is active, only guarded modules can modify SPI flash memory; this can protect from persistent implants. Both technologies run on a separate CPU known as the "Authenticated Code Module" (ACM), which isolates them from attackers and also protects from race condition attacks. Those "Guard" technologies are sometimes referred to as UEFI rootkit killers.
Not many details are publicly available regarding these technologies. In this presentation, I will discuss particular implementations on hardware with the most recent Intel CPUs such as Skylake and Kaby Lake. Most of the information has been extracted from UEFI firmware modules by reverse engineering. This DXE and PEI modules cooperated with ACM-code for enabling, configuration and initialization. This talk will also cover some weaknesses of those guards. Where are the BIOS guardians failing? How difficult is it to bypass these protections and install a persistent rootkit from the operating system?
ClickHouse Materialized Views: The Magic ContinuesAltinity Ltd
Slides for the webinar, presented on February 26, 2020
By Robert Hodges, Altinity CEO
Materialized views are the killer feature of ClickHouse, and the Altinity 2019 webinar on how they work was very popular. Join this updated webinar to learn how to use materialized views to speed up queries hundreds of times. We'll cover basic design, last point queries, using TTLs to drop source data, counting unique values, and other useful tricks. Finally, we'll cover recent improvements that make materialized views more useful than ever.
This presentation talks about Real Time Operating Systems (RTOS). Starting with fundamental concepts of OS, this presentation deep dives into Embedded, Real Time and related aspects of an OS. Appropriate examples are referred with Linux as a case-study. Ideal for a beginner to build understanding about RTOS.
Note: When you view the the slide deck via web browser, the screenshots may be blurred. You can download and view them offline (Screenshots are clear).
Lightweight DNN Processor Design (based on NVDLA)Shien-Chun Luo
https://sites.google.com/view/itri-icl-dla/
(Public Information Share) This is our lightweight DNN inference processor presentation, including a system solution (from Caffe prototxt to HW controls files), hardware features, and an example of object detection (Tiny YOLO) RTL simulation results. We modified open-source NVDLA, small configuration, and developed a RISC-V MCU in this accelerating system.
The document discusses parallelism and techniques to improve computer performance through parallel execution. It describes instruction level parallelism (ILP) where multiple instructions can be executed simultaneously through techniques like pipelining and superscalar processing. It also discusses processor level parallelism using multiple processors or processor cores to concurrently execute different tasks or threads.
This document summarizes multi-core computer architectures. It discusses how single-core CPUs are being replaced by multi-core chips that contain multiple processor cores on a single die. Each core can run threads in parallel for improved performance. The cores share the same memory and socket. Operating systems see each core as a separate processor. Issues around cache coherence and programming for multi-core architectures are also covered at a high level.
The document discusses Windows thread priority levels, which range from 0 to 31 and are divided into variable and real-time levels. All threads are initially created with a normal priority level. Thread priority can be adjusted relative to other threads in the same process using the SetThreadPriority function. Input threads are typically given above normal or highest priority to ensure responsiveness, while background threads may use below normal or lowest priority levels. Processors use priority levels internally, and they can be viewed and changed through various tools.
The document provides an overview of the Linux kernel, including its architecture, startup process, functionality, configuration, and compilation. It discusses the differences between micro and monolithic kernels. It also explains the Linux kernel architecture with user space and kernel space separated by a system call interface. Key aspects covered include process management, memory management, device management, and the kernel build system.
Reliability, Availability, and Serviceability (RAS) on ARM64 status - SFO17-203Linaro
Session ID: SFO17-203
Session Name: Reliability, Availability, and Serviceability (RAS) on ARM64 status - SFO17-203
Speaker: Fu Wei
Track: LEG
★ Session Summary ★
This presentation gives an updated RAS architecture on ARM64 base on RAS extension (in ARMv8.2), SDEI (Software Delegated Exception Interface), APEI, UEFI PI-SMM. Will talk about all the components of the new RAS architecture on ARM64, gives audience the current status and the next step of development.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/sfo17/sfo17-203/
Presentation:
Video: https://www.youtube.com/watch?v=NReFBzbeWi0
---------------------------------------------------
★ Event Details ★
Linaro Connect San Francisco 2017 (SFO17)
25-29 September 2017
Hyatt Regency San Francisco Airport
---------------------------------------------------
Keyword:
'http://www.linaro.org'
'http://connect.linaro.org'
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961
Instruction selection in LLVM maps the compiler intermediate representation (IR) to target instructions by matching nodes in a selection DAG. It performs this mapping greedily by choosing instructions with higher complexity that can cover more operations. The selection DAG is legalized to ensure operations are supported by the target before instruction matching using patterns defined in tablegen files.
This slide provides a basic understanding of hypervisor support in ARM v8 and above processors. And these slides (intent to) give some guidelines to automotive engineers to compare and choose right solution!
QEMU is an emulator that uses dynamic translation to emulate one instruction set architecture (ISA) on another host ISA. It translates guest instructions to an intermediate representation (TCG IR) code, and then compiles the IR code to native host instructions. QEMU employs techniques like translation block caching and chaining to improve the performance of dynamic translation. It also uses helper functions to offload complex operations during translation to improve efficiency.
1. The document provides an overview of the ARM architecture, including details on registers, exceptions, interrupts, memory management and instructions.
2. It describes the evolution of the ARM architecture from ARMv7 to AArch64 (ARMv8), noting changes in registers and exception handling between the versions.
3. The document also covers memory management features like MMU support, different memory types (normal vs device memory), and caching behavior in the ARM architecture.
This presentation is about such well-known vulnerabilities as Meltdown and Spectre and the way they use imperfections of modern processors on an architectural level. In this regard, ARM architecture, which is now a standard in embedded system, is discussed.
The talk was delivered by Andrii Lukin (Senior Software Engineer, Consultant, GlobalLogic) at GlobalLogic Embedded Career Day #2 on February 10, 2018.
More about GlobalLogic Embedded Career Day #2: https://www.globallogic.com/ua/events/globallogic-kyiv-embedded-career-day-2-materials
This document provides an overview of an embedded systems course that focuses on the LPC 2148 ARM processor. The objectives are to study the architecture and design aspects of the LPC 2148, including I/O and memory interfacing. The outcomes include designing and implementing programs on the LPC 2148 as well as studying communication interfaces and scheduling algorithms. The course is divided into 5 modules that cover the ARM instruction set, LPC 2148 architecture, peripherals, operating system overview, and the μC/OS-II real-time kernel. Learning resources include textbooks on embedded systems, ARM architecture, and real-time concepts.
The document provides an overview of the evolution of the ARM architecture from ARM7TDMI through various generations including Thumb, Thumb-2, and Cortex processors. It describes the key features added at each stage such as instruction sets, pipeline improvements, memory management units, and introduction of features like trustzone and SIMD. The ARM architecture can be implemented with different microarchitectures by various vendors to balance performance and power usage.
The document provides an overview of the ARM Cortex-A8 processor, including its RISC-based superscalar design, 13-stage instruction pipeline, branch prediction features, and NEON SIMD capabilities. The Cortex-A8 achieves high performance while maintaining low power usage. It is widely used in mobile devices and consumer electronics due to its versatility and balance of performance and energy efficiency.
This document presents benchmarks to analyze the memory subsystem performance of multicore processors from AMD and Intel. The benchmarks measure latency and bandwidth for different cache coherence states and locations in the memory hierarchy. Testing was done on dual-socket systems using AMD Opteron 2300 (Shanghai) and Intel Xeon 5500 (Nehalem-EP) quad-core processors. Results show significant performance differences driven by each processor's distinct cache architecture and coherence protocol implementations.
This document provides an introduction to embedded and real-time systems, focusing on the ARM processor, its architecture and peripherals. It discusses ARM architecture versions and instruction sets. It also covers the differences between Von Neumann and Harvard computer architectures. Real-time applications and the ARM dataflow operation are introduced. Specific topics covered include ARM-based products, ARM nomenclature, ARM features like its 32-bit architecture, load/store model and 3-stage pipeline. It also discusses ARM registers, modes of operation and the program status register.
The ARM processor architecture uses either reduced instruction set computing (RISC) or complex instruction set computing (CISC). RISC aims to improve performance by reducing the number of clock cycles per instruction through simpler instructions that execute in one cycle. CISC relies more on hardware for complex instructions. Memory in ARM systems is hierarchical, with cache memory closest to the processor core and secondary storage like hard drives further away. Peripherals allow input/output and are memory mapped through registers. Initialization code configures hardware and runs diagnostics before booting the operating system.
The document provides an overview of the AVR32 microprocessor architecture, including:
- It has a 32-bit RISC architecture with 15 general purpose 32-bit registers and supports byte, half-word, word, and double word memory access.
- It has optional memory protection and floating point hardware. Interrupts have multiple priority levels.
- The AVR32UC is presented as the first implementation, targeting low-to-medium performance applications with optional debug features but no cache.
The document provides an overview of ARM microprocessors and embedded systems. It discusses ARM architecture basics, including that ARM is a leading provider of RISC microprocessors used widely in embedded systems. It describes typical components of an ARM-based embedded device including the ARM processor, controllers, peripherals, and bus. It also covers memory, software components like boot code and operating systems, and common applications of ARM processors.
This document discusses embedded processors, including the VIA C3 processor and PowerPC MPC601 processor. It provides details on the architecture and design of the VIA C3 processor, including its instruction pipeline, instruction decode unit, branch prediction, integer unit, floating point unit, MMX and 3D unit. It notes some key characteristics of the VIA C3 such as its use of the x86 instruction set, pipelined design, and higher power consumption due to complexity. The document then briefly introduces the PowerPC MPC601 processor.
The document discusses the ARM processor architecture and peripherals. It describes the evolution of ARM architecture versions from ARMv1 to ARMv6. It covers the different types of ARM processors like classic, embedded, and application processors. It discusses the ARM instruction set including data processing, branch, load/store, and program status register instructions. It also describes stacks, subroutines, features of the LPC214x family, and peripherals like timers, PWM, and UART.
The document provides an overview of the architecture of the TMS320C5x digital signal processor (DSP). It describes the DSP's Harvard architecture with separate program and data buses. It also details the DSP's central processing unit which includes an arithmetic logic unit, parallel logic unit, and auxiliary register arithmetic unit. Additionally, it outlines the DSP's on-chip memory components and peripherals, addressing modes, and instruction set.
The document provides an overview of embedded systems and ARM processors. It discusses key aspects of ARM processors including the pipeline, memory management features like cache, TCM, MMU and TLB. It also summarizes the AMBA specification and differences between operating in ARM and Thumb states. The document is intended as lecture material for an embedded systems course covering ARM architecture.
The document describes the ARM7TDMI processor core. It is a 32-bit RISC processor capable of executing 16-bit Thumb instructions. It features a JTAG debugging interface, multiplier, and support for embedded emulation. It has a three-stage pipeline and interfaces with memory using different bus cycles.
This document outlines the evolution of ARM integer cores, including the original 3-stage pipeline and cores such as the ARM7TDMI, ARM9TDMI, and ARM10TDMI. It describes the key features of each core, including their pipeline structure, and how later cores aimed to improve performance over earlier versions by using techniques like separate instruction/data memories, deeper pipelines, branch prediction, and higher clock speeds.
This document provides an introduction and overview of ARM processors. It discusses the background and concepts of ARM, including that ARM is a RISC architecture designed for efficiency. It describes key ARM architectural features like the Harvard architecture and conditional execution. The document also covers ARM memory organization, registers, instruction set, programming model, and exceptions.
Similar to ARM Architecture for Kernel Development (20)
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...GlobalLogic Ukraine
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
GlobalLogic Embedded Community x ROS Ukraine Webinar "Surgical Robots"GlobalLogic Ukraine
Доповідь присвячена медицині майбутнього, малоінвазивній хірургії: розглянемо рішення із використанням роботів хірургів. Оглянемо інструментарій та звернемо увагу на речі, які можна відтворити для експериментів у домашніх умовах.
GlobalLogic Java Community Webinar #17 “SpringJDBC vs JDBC. Is Spring a Hero?”GlobalLogic Ukraine
Доповідь присвячена розгляду Spring JDBC у порівнянні зі стандартним JDBC у Java. Спікерка покаже на конкретних прикладах розподіл логіки коду за класами та як використання Spring JDBC скорочує кількість коду, який необхідно написати, і чому це відбувається.
Відео та деталі заходу: https://bit.ly/3wqEjCx
GlobalLogic JavaScript Community Webinar #18 “Long Story Short: OSI Model”GlobalLogic Ukraine
Ця доповідь зацікавить усіх, хто хоче заповнити прогалини у базових знаннях чи підтягнути теорію з університету. Під час доповіді ми дізнаємось, що таке модель OSI та розглянемо кожен її рівень. Як результат, ви краще розумітимете свою область відповідальності як Front-end, Back-end, DevOps чи системний адміністратор.
Відео та деталі заходу: https://bit.ly/47T4QWI
Штучний інтелект як допомога в навчанні, а не замінник.pptxGlobalLogic Ukraine
Про що лекція:
- Як використовувати штучний інтелект у навчанні
- Обмеження та недоліки використання AI
- Рекомендації щодо відповідального використання AІ в навчанні. Огляд кращих прикладів.
Спікер: Оксана Поморова — Lead Software Engineer, GlobalLogic, доктор технічних наук з 20-річним досвідом в IT. Напрям діяльності — застосування штучного інтелекту та комп’ютерний зір.
Задачі AI-розробника як застосовується штучний інтелект.pptxGlobalLogic Ukraine
Про що лекція:
- Пошук схожих зображень за допомогою ШІ
- Як ШІ видаляє задній фон на фото. Розв’язання задачі сегментації.
- Ефективне навчання ШІ на основі великого масиву даних (фото).
Спікер: Олександр Мірошниченко, Senior Software Engineer, має понад 7 років досвіду в ІТ. Напрям діяльності — нейронні мережі та Deep Learning.
Що треба вивчати, щоб стати розробником штучного інтелекту та нейромереж.pptxGlobalLogic Ukraine
Про що лекція:
- Що таке штучний інтелект зсередини та чим зумовлена його популярність
- Напрями розвитку штучного інтелекту: які є та як обрати свій
- Які знання необхідні, щоб стати розробником штучного інтелекту
Спікер: Василь Ляшкевич — Solution Architect, GlobalLogic, PhD в компʼютерних науках, має понад 15 років досвіду в ІТ. Напрям діяльності — розробка алгоритмів і засобів штучного інтелекту, хмарних систем та сервісів.
GlobalLogic Java Community Webinar #16 “Zaloni’s Architecture for Data-Driven...GlobalLogic Ukraine
20 липня відбувся вебінар від Java Community – “Zaloni’s Architecture for Data-Driven Design” by Максим Дем’яновський — Software Engineer, GlobalLogic.
Доповідь надасть уявлення про Data-Driven Design, основні його переваги і практичну користь, а також покаже як його можна реалізувати на практиці.
25 квітня відбувся вебінар від JavaScript Community – “Why Is Git Rebase?”
Ганна Ліхтман — Senior Software Engineer, GlobalLogic.
Під час вебінару дізнались, що таке git history, та чому важливо тримати її в чистоті і порядку. Яка різниця між merge та rebase. Що таке інтерактивний rebase та в чому його сила не тільки на словах, але й на практиці.
GlobalLogic .NET Community Webinar #3 "Exploring Serverless with Azure Functi...GlobalLogic Ukraine
29 березня відбувся вебінар від .NET Community – “Exploring Serverless with Azure Functions”.
Спікер: Євген Павленко – Senior Software Engineer, GlobalLogic.
Поговорили на ті теми:
- Вступ до Azure Functions та Serverless;
- Типи хмарного обчислення;
- Переваги serverless;
- Функції та можливості Azure Functions.
Страх і сила помилок - IT Inside від GlobalLogic EducationGlobalLogic Ukraine
Ви дізнаєтесь:
- Що знаходиться за кулісами успішного успіху;
- Страх, що контролює тебе та робота з ним;
- Звідки береться невпевненість у власних силах;
- Чого власні помилки демотивують.
ℹ️IT Inside — це серія 30-хвилинних лекцій для охочих розпочати кар'єру в ІТ. Наші експерти відкриють залаштунки айтішного життя, обговорять поширені думки про ІТ-сферу й розкажуть те, що самі б хотіли почути на старті кар'єри.
🎬Переглянути записи попередніх лекцій IT Inside (https://youtube.com/playlist?list=PLipGbz33Ay3H5ynlB0YQ6P-16IX-pRvce).
GlobalLogic .NET Webinar #2 “Azure RBAC and Managed Identity”GlobalLogic Ukraine
24 листопада відбувся вебінар від .NET Community – “Azure RBAC and Managed Identity”.
Спікер: Євген Павленко – Senior Software Engineer, GlobalLogic.
Розповіли, що таке Azure RBAC (Role Base Access Control) і як він працює, для чого нам Azure Managed Identity та як звільнитись від використання паролів-секретів при використанні Azure.
Деталі заходу: https://bit.ly/3GSBvRx
Відкриті .NET-позиції у GlobalLogic: https://bit.ly/3ilJYCq
Долучитись до .NET Community у Facebook: https://www.facebook.com/groups/communitydotnet
GlobalLogic QA Webinar “What does it take to become a Test Engineer”GlobalLogic Ukraine
We considered:
- What attracts you to testing?
- What set of skills does the tester need?
- How to find your niche?
- Truth and fiction about testing
- Resume as a way to success
- Recommended materials
Discussed the capabilities, advantages and disadvantages of Keycloak, made a basic understanding of how it can be applied and integrated into various systems.
Speaker - Ihor Didyk, Software Engineer, GlobalLogic.
GlobalLogic Machine Learning Webinar “Advanced Statistical Methods for Linear...GlobalLogic Ukraine
31 травня відбувся вебінар для ML-спеціалістів - “Advanced Statistical Methods for Linear Regression” від спікера Віталія Мірошниченка! Ця доповідь для тих, хто добре ознайомлений із найпоширенішими моделями даних та підходами у машинному навчанні і хоче розширити знання іншими підходами.
У доповіді ми розглянули:
- Нагадування. Модель лінійної регресії і підгонка параметрів;
- Навчання батчами (великі об’єми вибірок);
- Оптимізація розрахунків у каскаді моделей;
- Модель суміші лінійних регресій;
- Оцінки методом складеного ножа матриць коваріацій.
Про спікера:
Віталій Мірошниченко — Senior ML Software Engineer, GlobalLogic. Має більше 6 років досвіду, який отримав здебільшого на проєктах, пов’язаних із Telecom, Cyber security, Retail. Активний учасник змагань Kaggle, та Аспірант КНУ.
Деталі заходу: https://bit.ly/3HkqhDB
Відкриті ML позиції у GlobalLogic: https://bit.ly/3MPC9yo
GlobalLogic Machine Learning Webinar “Statistical learning of linear regressi...GlobalLogic Ukraine
24 травня відбувся GlobalLogic Machine Learning Webinar “Statistical learning of linear regression model” від спікера Віталія Мірошніченка.
Під час вебінару ми обговорили такі теми:
- Модель лінійної регресії;
- Підгонка параметрів моделі (custom, sklearn, scipy);
- Основні теореми та асимптотика параметрів;
- Дискриптивні статистики (візуалізація результатів);
- Тести та їх інтерпретація;
- Приклади з Machine Learning.
Відео та деталі заходу - https://www.globallogic.com/ua/about/events/statistical-learning-of-linear-regression-model/?utm_source=youtube-organic&utm_medium=social&utm_campaign=statistical-learning-of-linear-regression-model
Попередня реєстрація на GL BaseCamp - https://bit.ly/BaseCampwaitinglist
GlobalLogic C++ Webinar “The Minimum Knowledge to Become a C++ Developer”GlobalLogic Ukraine
18 травня відбувся GlobalLogic C++ Webinar “The Minimum Knowledge to Become a C++ Developer” від спікера Романа Івасишина.
У доповіді ми розглянули:
- Список тем, які повинен знати С++ розробник (синтаксис мови, класи, STL, а також дізнались, для чого вчити темплейти та багатопотоковість);
- На що потрібно звернути увагу при вивченні мови;
- Деякі приховані аспекти мови;
- Практичні приклади з С++.
Відео та деталі заходу: https://bit.ly/3Gxmkee
Приєднатись до спільноти: https://www.facebook.com/groups/EmbeddedCommunity
Відкриті C++ позиції у GlobalLogic: https://bit.ly/3GzW03c
22 лютого відбувся Embedded Webinar #17 “Low-level Network Testing in Embedded Devices Development” від спікера Сергія Корнієнка.
Під час вебінару ми говорили на такі теми:
- Підхід до низькорівневого тестування мережевих протоколів;
- Інструменти, які можна використати в реальних проєктах;
- Знайдені баги та способи знаходження корневих причин на прикладі реального R&D проєкту.
Відео та деталі заходу: https://bit.ly/embedded_webinar_17
Приєднатись до спільноти: https://www.facebook.com/groups/EmbeddedCommunity
Відкриті Embedded-позиції у GlobalLogic: https://bit.ly/Embedded_Positions
11 січня відбувся вебінар “Introduction to Embedded QA”.
Під час вебінару ми поговорили на такі теми:
Огляд вбудованих систем;
Основні складнощі, що виникають під час їх тестування;
Основні напрямки та технології, які необхідно відслідковувати під час роботи з вбудованими системами.
Більше про захід: https://www.globallogic.com/ua/about/events/globallogic-webinar-introduction-to-embedded-qa/
Приємного перегляду і не забудьте залишити коментар про враження від вебінару!
9 грудня відбувся вебінар “Why Should You Learn C++ in 2021-22?”
Розглянули, наскільки популярною є C/C++ і де її можна використовувати. Поговорили про основні переваги та недоліки цієї мови програмування. Розповіли, як розвивається C/C++ і, нарешті, ми зрозуміли, як почати вивчати C/C++.
Більше про захід: https://www.globallogic.com/ua/about/events/c-webinar-why-you-should-learn-c-in-2021-22/
Приємного перегляду і не забудьте залишити коментар про враження від вебінару!
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Road construction is not as easy as it seems to be, it includes various steps and it starts with its designing and
structure including the traffic volume consideration. Then base layer is done by bulldozers and levelers and after
base surface coating has to be done. For giving road a smooth surface with flexibility, Asphalt concrete is used.
Asphalt requires an aggregate sub base material layer, and then a base layer to be put into first place. Asphalt road
construction is formulated to support the heavy traffic load and climatic conditions. It is 100% recyclable and
saving non renewable natural resources.
With the advancement of technology, Asphalt technology gives assurance about the good drainage system and with
skid resistance it can be used where safety is necessary such as outsidethe schools.
The largest use of Asphalt is for making asphalt concrete for road surfaces. It is widely used in airports around the
world due to the sturdiness and ability to be repaired quickly, it is widely used for runways dedicated to aircraft
landing and taking off. Asphalt is normally stored and transported at 150’C or 300’F temperature
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Impartiality as per ISO /IEC 17025:2017 StandardMuhammadJazib15
This document provides basic guidelines for imparitallity requirement of ISO 17025. It defines in detial how it is met and wiudhwdih jdhsjdhwudjwkdbjwkdddddddddddkkkkkkkkkkkkkkkkkkkkkkkwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwioiiiiiiiiiiiii uwwwwwwwwwwwwwwwwhe wiqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq gbbbbbbbbbbbbb owdjjjjjjjjjjjjjjjjjjjj widhi owqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq uwdhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhwqiiiiiiiiiiiiiiiiiiiiiiiiiiiiw0pooooojjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj whhhhhhhhhhh wheeeeeeee wihieiiiiii wihe
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Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Levelised Cost of Hydrogen (LCOH) Calculator ManualMassimo Talia
The aim of this manual is to explain the
methodology behind the Levelized Cost of
Hydrogen (LCOH) calculator. Moreover, this
manual also demonstrates how the calculator
can be used for estimating the expenses associated with hydrogen production in Europe
using low-temperature electrolysis considering different sources of electricity
Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
Determination of Equivalent Circuit parameters and performance characteristic...pvpriya2
Includes the testing of induction motor to draw the circle diagram of induction motor with step wise procedure and calculation for the same. Also explains the working and application of Induction generator
3. 3
RISC -- Reduced Instructions Set Computer
● Small set of simple and general instructions
● Fixed length instructions
● Simpler processor’s core logic
● Harvard architecture -- architecture with physically separate storage and
signal pathways for instructions and data
● Load/Store architecture -- separate instructions for memory access
● A lot of general purpose registers or even register files
12. 12
Exceptions
● A synchronous exception if it is generated as a result of execution or attempted
execution of the instruction stream, and where the return address provides
details of the instruction that caused it.
● An asynchronous exception is not generated by executing instructions, while the
return address might not always provide details of what caused the exception.
● In the ARMv7-A architecture, the prefetch abort, Data Abort and undef
exceptions are separate items.
● In AArch64, all of these events generate a Synchronous abort. The exception
handler may then read the syndrome and FAR registers to obtain the necessary
information to distinguish between them.
19. 19
MMU - Caches
● Point of Coherency (PoC) -- is the point at which all observers, for example,
cores, DSPs, or DMA engines, that can access memory, are guaranteed to
see the same copy of a memory location. Typically, this is the main external
system memory.
● Point of Unification (PoU) -- is the point at which the instruction and data
caches and translation table walks of the core are guaranteed to see the
same copy of a memory location
21. 21
MMU - Normal memory
● Normal memory -- The processor can re-order, repeat, and merge accesses
to it.
Furthermore, address locations that are marked as Normal can be accessed
speculatively by the processor, so that data or instructions can be read from
memory without being explicitly referenced in the program, or in advance of
the actual execution of an explicit reference. Such speculative accesses can
occur as a result of branch prediction, speculative cache linefills, out-of-order
data loads, or other hardware optimizations.
22. 22
MMU - Device memory
● Device memory --
○ Device-nGnRnE most restrictive (equivalent to Strongly Ordered
memory in the ARMv7 architecture).
○ Device-nGnRE
○ Device-nGRE
○ Device-GRE least restrictive
● Gathering of non Gathering (G or nG) -- whether multiple accesses can be
merged into a single bus transaction for this memory region.
● Re-ordering (R or nR) -- whether accesses to the same device can be re-
ordered with respect to each other.
● Early Write Acknowledgement (E or nE) -- whether an intermediate write
buffer between the processor and the slave device being accessed is allowed
to send an acknowledgement of a write completion