Huawei’s Kunpeng processor adopts the ARM RISC architecture, contrasting with traditional CISC CPUs from Intel and AMD, and the article explains how RISC’s simplified, fixed-length instruction set improves performance, reduces hardware complexity, and aligns with modern computing demands.
FastDeploy is an open‑source toolkit that standardizes AI model APIs and enables developers to deploy vision, NLP, and speech models on diverse hardware—including GPUs, CPUs, Jetson, ARM, and various NPUs—using just three lines of code or a single command, while delivering end‑to‑end performance optimizations.
This article provides a comprehensive overview of how computers operate, covering CPU instruction cycles, memory organization, endianness, compiler translation, operating‑system interaction, cache levels, storage tiers, and the principles of temporal and spatial locality that drive modern performance optimizations.
The article explains how Huawei's Kunpeng processor, built on the Arm RISC architecture, overcomes the complexity and inefficiency of traditional CISC CPUs by using a simplified instruction set, fixed‑length commands, and better power‑performance balance, highlighting its technical advantages and industry relevance.
This guide explains how to monitor Linux system performance by using core commands such as top, vmstat, iostat, and sar to evaluate CPU usage, memory allocation, I/O activity, and network traffic, while also covering load interpretation, cache behavior, huge pages, zero‑copy techniques, and practical command examples.
The article provides a comprehensive overview of the role of CPUs and GPGPUs in modern server architectures and AI workloads, discussing hardware fundamentals, instruction set architectures, market trends, and the emerging importance of heterogeneous computing for high‑performance and energy‑efficient processing.
Learn how to use Linux’s top command to dynamically monitor process activity, interpret CPU, memory, and swap statistics, customize displayed columns, and apply useful shortcuts for sorting and filtering, enabling effective real-time system performance analysis and troubleshooting.
This article outlines a comprehensive approach to system performance optimization, covering key metrics, profiling tools, common bottlenecks in CPU, memory, disk and network I/O, and practical guidelines for continuous monitoring and improvement in production environments.
This article explains practical JVM tuning scenarios—including how to identify and resolve excessive CPU consumption, thread deadlocks, and memory leaks—by using Linux tools such as top, jstack, jps, jstat, and jmap, and by analyzing heap dumps with Eclipse MAT.
A team of three spent over ten months constructing a 1 Hz CPU, custom GPU, and complete game logic inside unmodded Minecraft using only redstone, enabling a playable 3D version of Minecraft within Minecraft itself.
This article provides a detailed analysis of server hardware architectures, industry supply chain, cost structures, market share, and emerging CPU trends such as X86 dominance and ARM growth, while also offering downloadable resources and insights into China's domestic substitution policies.
This article explains the basic principles of computer architecture, covering CPU operation, memory hierarchy, cache levels, instruction sets, compilation, endianness, and related concepts such as simulators and operating system interactions, illustrating how simple instructions enable complex computations.
This article explains how to monitor Linux system performance by covering CPU metrics with top and vmstat, memory usage via top columns and cache details, I/O health using iostat and zero‑copy techniques, as well as network statistics with sar, providing practical commands and interpretation guidance.
This guide explains multiple Linux techniques—such as lscpu, /proc/cpuinfo, lshw, dmidecode, inxi, hardinfo, hwinfo, cpuid, nproc, and hwloc—to display comprehensive CPU details like model name, core count, cache sizes, architecture, and NUMA nodes, with exact commands and example outputs.
This guide explains what CPU context switches are, how to monitor them with vmstat and pidstat, analyzes a sysbench‑generated load case, examines interrupt sources, and provides practical thresholds and troubleshooting steps to improve Linux system performance.
When a computer freezes, it isn’t simply “stuck”; the CPU may be trapped in a loop, waiting on an interrupt, or blocked by a high‑priority kernel lock, and understanding interrupts, priority levels, and kernel deadlocks reveals why a dead loop alone rarely crashes the system.
This report examines the rapid development, challenges, and future prospects of China's domestic CPU industry, covering market growth, technological breakthroughs, ecosystem building, and strategic considerations for manufacturers and policymakers in the global context.
This article explains how to assess Linux system performance by examining CPU usage with top, interpreting load averages, using vmstat for detailed metrics, monitoring memory consumption via top, understanding cache behavior, evaluating I/O performance with iostat and sar, and provides practical commands and visual examples for each component.
Modern mobile CPUs are superscalar, using deep pipelining, branch prediction, register renaming, out‑of‑order issue, execution, write‑back, and commit stages to boost instruction‑level parallelism, while performance modeling via CPI and hardware counters helps engineers overcome power, memory, and compiler limitations for efficient code.
The article explains that computer freezes are usually caused by software-level issues where the CPU gets trapped due to interrupt handling or kernel deadlocks, rather than hardware failure, and shows why a simple infinite loop cannot crash a modern operating system.
The article explains why computers appear to freeze by describing how the CPU, pre‑emptive multitasking, interrupt handling, and kernel‑level deadlocks interact, showing that simple infinite loops rarely cause a crash while kernel bugs can make the system unresponsive.
The article explains how to decide between a CPU‑saturated but memory‑free node and a memory‑saturated but CPU‑free node when scheduling a new Kubernetes pod, arguing that the node with ample memory (CPU‑busy) is generally preferable and describing the underlying kube‑scheduler considerations.
Using thread pools in Java reduces resource consumption, speeds up response, and enhances system stability, while the optimal thread count depends on task type—IO‑bound tasks use roughly twice the CPU cores, CPU‑bound tasks match the core count, and mixed workloads follow a calculated formula.
This article surveys the rapid growth of data‑center capacity, the rise of AI and big‑data workloads, and how emerging accelerators such as GPUs, DPUs, SmartNICs and heterogeneous CPU designs from Intel, AMD, Arm and Apple are reshaping server hardware and driving a new wave of performance and efficiency competition.
This article demonstrates how to install the psutil Python library and use it to gather detailed CPU, memory, disk, network, and process information on a system, providing code examples and explanations for each type of metric.
This article summarizes the 2022 Chinese server CPU research framework, covering server fundamentals, logical architecture, CPU roles and cost impact, instruction-set classifications (CISC vs RISC), major architectures (x86, ARM, MIPS), the industry value chain, market size trends, and global competitive dynamics across server, desktop, and mobile segments.
The article analyzes how the slowdown of Moore's Law drives a shift from general‑purpose CPUs to specialized XPU, FPGA, DSA and ASIC designs, highlights heterogeneous chiplet integration, edge‑server growth, and the emerging importance of software, algorithms and architecture in boosting performance and efficiency.
This article explores the fundamentals of CPU cache hierarchy, why caches are needed, how cache inconsistency arises in multicore systems, and the mechanisms—such as cache coherence protocols, MESI, store buffers, invalidate queues, and memory barriers—that ensure correct data ordering and visibility across processors.
MegPeak is an open‑source processor debugging tool that evaluates instruction peak bandwidth, latency, and memory bandwidth, enabling developers to benchmark CPUs, plot Roofline models, and guide low‑level algorithm and kernel optimizations for AI workloads.
The article presents a detailed benchmark of AMD's Milan‑X 7773X processor, highlighting its 3D V‑Cache architecture and large 768 MB L3 cache, and demonstrates up to 1.80× speed‑up for HPC applications WRF and OpenFOAM on a dual‑socket NF5468A5 GPU server.
This article provides a comprehensive overview of CPU architecture, explains key monitoring metrics, compares CPU‑intensive and I/O‑intensive workloads, presents experimental results on thread‑count tuning, and walks through real‑world case studies of CPU bottleneck diagnosis and optimization.
This article explores the core principles of computer operation, covering CPU architecture, memory hierarchy, instruction execution, compiler role, cache levels, and the impact of hardware design on performance, while illustrating concepts with diagrams and practical examples to demystify how modern computers process data.
This guide explains how to use Linux’s top command to monitor system performance in real time, covering its statistical and process sections, key fields, useful command‑line options, common interactive operations, and the significance of CPU steal time for virtualized environments.
Linux’s multitasking illusion relies on CPU context switches, where the kernel saves and restores registers and program counters for processes, threads, and interrupts, and understanding these mechanisms—including their types, performance costs, and scheduling triggers—reveals why excessive switches can degrade system performance.
This article explores whether modern CPUs contain undocumented or hidden instructions, explains the challenges of searching the variable‑length x86 ISA, presents a depth‑first algorithm that skips irrelevant bytes, shows how to infer instruction length using page‑fault side‑effects, and reveals discovered hidden opcodes on Intel and AMD processors.
This tutorial shows how to create a Bash script that continuously monitors a Linux server’s memory, disk, and CPU usage, explains the commands used, demonstrates assembling the data into variables, looping for a set period, logging results, and optionally applying a stress test to generate load.
This article provides a step‑by‑step methodology for troubleshooting online service failures by systematically examining CPU, disk, memory (including heap, OOM, stack overflow, and off‑heap), garbage collection, and network problems using tools such as ps, top, jstack, jmap, jstat, iostat, vmstat, strace, and tcpdump.
This guide explains how to use the Linux top command to monitor real‑time process activity, interpret CPU, memory and swap statistics, customize displayed columns, apply command‑line options, and understand key metrics such as load average and steal time for effective system performance management.
The article investigates whether modern x86 CPUs contain undocumented or hidden instructions, explains how to search the instruction space using a depth‑first algorithm that leverages page‑fault side‑effects to determine instruction length, and presents the results of uncovering such hidden opcodes on Intel and AMD processors, highlighting the potential security risks.
This article explains what performance means, why optimization remains essential even on powerful multi‑core CPUs, large memory, and SSDs, and demonstrates through simple code examples how algorithmic complexity can cause noticeable lag, urging developers to prioritize performance tuning.
This article provides a comprehensive overview of server CPUs, covering core components, operation stages, performance parameters, Intel TurboBoost, Xeon Scalable naming, Tick‑Tock development, multi‑core and many‑core designs, hyper‑threading, heterogeneous computing, and the differences between CISC and RISC architectures.
This guide explains how to configure CPU and memory requests and limits for Kubernetes pods, implement QoS classes, use LimitRange and ResourceQuota, and monitor resource usage with Prometheus queries and Grafana dashboards to ensure stable cluster operations.
This article chronicles the origins, competition, legal battles, and strategic innovations of Intel and AMD from the 1950s semiconductor breakthroughs to recent market resurgence, illustrating how their rivalry shaped the modern CPU industry over more than half a century.
This guide explains Linux performance optimization by defining key metrics such as throughput and latency, clarifying average load, detailing CPU context switches, describing common performance analysis tools, and providing practical methods for diagnosing and improving CPU, memory, and I/O bottlenecks in production environments.
This guide explains Linux performance optimization by defining key metrics such as throughput and latency, describing how to interpret average load, and detailing step‑by‑step usage of tools like vmstat, pidstat, perf, and dstat to diagnose CPU, memory, I/O, and context‑switch bottlenecks.
This comprehensive guide explains Linux performance fundamentals, covering key metrics like throughput and latency, how to interpret average load, CPU context switching, memory management, and the most effective tools and techniques for diagnosing and optimizing system performance.
This guide explains Linux performance optimization by defining key metrics such as throughput, latency, average load, and CPU usage, describing how to select and interpret tools like vmstat, pidstat, perf, and dstat, and offering concrete steps to diagnose and fix CPU, memory, I/O, and context‑switch bottlenecks.
This article explains how a CPU handles interrupts using mechanisms like the programmable interrupt controller (PIC), advanced APIC, interrupt vectors, IDT, and how interrupt affinity and CPU affinity can be configured to balance load across multiple cores, illustrating both synchronous exceptions and asynchronous interrupts.
This guide explains Linux performance optimization by defining core metrics such as throughput, latency, and average load, describing how to select and benchmark indicators, outlining essential analysis tools like vmstat, pidstat, and perf, and providing practical CPU and memory tuning strategies to eliminate bottlenecks.
The article examines a puzzling StackOverflow case where sorting a random array before summation yields a six‑fold speedup, explains the phenomenon through CPU five‑stage pipeline fundamentals, structural, data, and control hazards, and shows how branch prediction and operand forwarding mitigate the performance loss.
China's domestic CPU industry, once nascent, has rapidly progressed through three phases—initial development, transition, and acceleration—producing key players such as Phytium, Kunpeng, Haiguang, Loongson, Zhaoxin, and Shenwei, each advancing performance, ecosystem, and security to challenge foreign incumbents.
Intel's new SDSi feature, now supported in Linux kernel 5.18, lets customers pay to unlock additional CPU cores and potentially other performance enhancements, a strategy originally designed for data‑center processors that could reshape how processor capabilities are monetized.
This article provides a comprehensive technical overview of server hardware architecture, covering the evolution from dual‑chip (MCH + ICH) to single‑chip (PCH) designs, detailed PCIe specifications, PCB and cooling considerations, and the power‑supply strategies used in modern data‑centers.
This guide explains why databases like TiDB have specific hardware requirements and provides detailed recommendations for CPU selection, memory tuning, storage choices, and network configuration to achieve optimal performance and cost efficiency.
This guide explains Linux performance optimization by defining key metrics such as throughput and latency, interpreting average load, exploring CPU context switches, and providing practical step‑by‑step instructions for using tools like vmstat, pidstat, perf, strace, and memory analysis utilities to diagnose and resolve CPU, I/O, and memory bottlenecks.
This guide explains Linux performance optimization by covering key metrics such as throughput, latency, load average, CPU context switching, and memory management, and demonstrates how to use built‑in tools like vmstat, pidstat, perf, and cachetop to diagnose and resolve bottlenecks.
Learn practical JVM tuning techniques by identifying high CPU usage, diagnosing deadlocks, and uncovering memory leaks using tools such as top, jstack, jps, jstat, and jmap, with step‑by‑step commands and code examples to help you optimize Java application performance.
This article compares Kubernetes pod monitoring metrics with traditional KVM/VM metrics across CPU, memory, disk, and network, explaining the underlying reasons for the differences and offering guidance on interpreting the data for effective performance troubleshooting.
Researchers at ETH Zurich introduce Exemplar Transformers, a novel Transformer layer that accelerates visual object tracking by eight times, runs in real‑time on CPUs, and improves robustness when integrated into a Siamese‑based tracker, achieving state‑of‑the‑art performance on six benchmark datasets.
dl_inference is an open‑source, production‑grade deep learning inference platform that supports TensorFlow, PyTorch and Caffe models, offering GPU and CPU deployment, TensorRT and MKL acceleration, multi‑node load balancing, and extensive Q&A on model conversion, hardware requirements, INT8 quantization, and performance gains.
The 2021 China Integrated Circuit Market Research Report analyzes recent three‑year trends showing rising shares of MPU and logic chips, declining DRAM, stable analog and MCU, and details the market status, growth forecasts, and challenges for CPU, GPU, FPGA, ASIC, and storage technologies.
This article provides a comprehensive overview of CPU caches, covering why they are needed, their classification, placement and lookup mechanisms, replacement and write policies, and coherence protocols such as MESI, illustrating each concept with diagrams and code examples.
This article explains how CPUs receive interrupt numbers through hardware, exceptions, or the INT instruction, describes the structure and purpose of the Interrupt Descriptor Table, and details the stack operations and control‑flow steps the processor performs to handle and return from an interrupt.
This article analyzes why Alipay’s cold start on our device is slower than on competing phones and presents a series of optimizations—including CPU boosting, Dex2oat strategy adjustments, GC frequency reduction, and I/O improvements—that collectively close the performance gap.
The 2021 China Integrated Circuit Market Research Report analyzes recent three‑year trends, showing rising shares for MPU and logic chips, declining DRAM, stable analog and MCU, while detailing the market positions, growth rates, and challenges of CPU, GPU, FPGA, ASIC, and flash storage technologies.
In a large‑scale Redis cluster, expanding nodes caused unexpected CPU spikes and higher latency for MGET operations, prompting a deep investigation that traced the issue to the CLUSTER SLOTS command and its handling of MOVED errors, followed by a code‑level optimization that reduced CPU usage by over 90% and cut command latency dramatically.
This article explains the motivation behind CPU caches, describes their placement in the memory hierarchy, details cache organization, placement policies, lookup mechanisms, replacement strategies, write handling, and coherence protocols such as MESI, providing a comprehensive overview of cache fundamentals.
The article summarizes AMD’s 2022‑2023 Zen 4 EPYC roadmap—including the 96‑core Genoa and 128‑core Bergamo processors built on TSMC’s 5 nm process, the new Zen 4c core for cloud‑native workloads, and Intel’s parallel IDM 2.0 plan—while providing cache specifications, performance claims, and links to further technical resources.
This article explains the fundamental principles of computer operation, covering CPU architecture, memory organization, instruction execution, compiler translation, caching strategies, and the role of operating systems, while illustrating concepts with diagrams and code examples.
The article provides a comprehensive analysis of China's domestic CPU ecosystem, examining the technical distinctions between architectures and instruction sets, the security implications of relying on foreign designs, and the strategic balance needed between indigenous development and imported technologies to advance the nation's semiconductor industry.
This article explains the basic principles of computer architecture, covering CPU operation, memory organization, binary representation, instruction sets, caching levels, storage hierarchy, compilers, script languages, and the impact of open‑source software on system design.
This article explains the basic principles of how computers work, covering CPU and memory organization, instruction sets, endianness, compiler role, operating system interaction, cache levels, storage technologies, and performance optimization techniques.
This guide walks through installing the Go‑based Node Exporter, configuring it as a systemd service or Docker container, exposing standard Prometheus metrics, and using PromQL to calculate CPU usage across multiple nodes.
This article explains theoretical formulas and practical guidelines for calculating the optimal thread pool size in Java, covering CPU‑bound and I/O‑bound workloads, how to measure CPU cores and blocking ratios, and provides example calculations and code snippets.
The article analyzes the current X86 market dominance of Intel, AMD's rapid advancement with its Zen architecture and 7nm process, the competitive landscape of server and consumer CPUs, and the emergence of Chinese domestic processors built on licensed X86 technology.
This article provides a comprehensive analysis of CPU architecture evolution, workflow, historical milestones, CISC versus RISC competition, the emergence of RISC‑V, China's domestic processor initiatives, and current market share trends across servers, desktops, and mobile devices.
The article explains the fundamental role of CPUs in modern computing, reviews their historical development, analyzes the current market dominated by foreign giants, highlights policy‑driven growth of domestic processors, and outlines how emerging fields like 5G, cloud, AI and IoT create new demand and opportunities for CPU innovation.
This article explains the fundamentals of x86 interrupt handling, covering the distinction between interrupt vectors and descriptors, classification of internal and external interrupts, the role of the 8259A PIC, how interrupt numbers are assigned, and the mechanisms for saving and restoring CPU state during an interrupt.
This article explains how to identify and resolve server CPU spikes caused by excessive DateTime object creation in a Java application, detailing step‑by‑step Linux command usage, JStack and JProfiler analysis, and a refactoring solution that replaces DateTime comparisons with string comparisons to reduce GC pressure.
The article explains how V8’s built‑in methods, originally placed far from JIT‑generated code, cause costly branch‑prediction failures on 64‑bit CPUs, and how copying these snippets into a nearby memory region reduces mispredictions and improves performance at a modest memory cost.
An avid creator spent six months hand‑soldering thousands of transistors, diodes, and resistors to assemble a working 6‑bit CPU, detailing the design of its shift register, program counter, ROM/RAM modules, instruction decoder, ALU, and the challenges of debugging its binary code.
This article explains why a CPU with only a few small registers can still operate on massive in‑memory data structures by loading one element at a time using load/store instructions and how compilers strategically allocate registers to minimize memory traffic.
This article explains the meaning of each CPU usage field shown by the top command, dives into the Linux kernel source that records these metrics via clock interrupts, and shows how the percentages are computed from /proc/stat data.
This guide explains how to allocate CPU and memory to containers and pods in Kubernetes, clarifies resource units, demonstrates practical Deployment, ResourceQuota, and LimitRange configurations with YAML examples, and lists useful tools for monitoring and enforcing resource constraints.
The article explains CPU utilization and CPU load, clarifies time‑slice concepts, distinguishes user‑mode and system‑mode usage, describes how load reflects the average number of runnable and waiting tasks, and provides Linux commands and troubleshooting steps for high‑load/low‑utilization and vice‑versa scenarios.
This guide walks you through systematic troubleshooting of Java production issues—covering CPU, memory, disk, GC, and network problems—by using tools like jstack, jmap, top, iostat, vmstat, and netstat to pinpoint root causes and apply targeted fixes.
This article provides a comprehensive introduction to the fundamentals of x86 Linux, covering the historic Intel 8086 processor, segment descriptors, main memory organization, registers, bus architecture, CPU addressing modes, control mechanisms, and the basic instruction execution cycle.
This article explains how CPU core count versus clock speed and memory size influence MySQL performance, discusses when to prioritize multi‑core or high‑frequency CPUs for concurrency or query speed, and offers practical guidelines for selecting server hardware based on workload characteristics.
An in‑depth guide walks you through every stage of CPU production—from extracting pure silicon from sand, melting and shaping ingots, slicing wafers, applying photoresist, performing photolithography, ion implantation, metal layering, testing, and final packaging—revealing the complex, multi‑billion‑dollar process behind modern processors.
This article explains the difference between CPU utilization and CPU load, describes how to interpret these metrics, and provides practical Linux commands and step‑by‑step methods for diagnosing high load with low utilization or vice versa, including common I/O and indexing issues.
This guide shows Linux users how to retrieve detailed CPU information—including model, frequency, physical and logical core counts, and hyper‑threading status—by querying /proc/cpuinfo with simple command‑line filters.
This article explains how to allocate CPU and memory to containers and Pods in Kubernetes, covers ResourceQuota and LimitRange mechanisms, provides practical YAML examples, and lists useful tools for monitoring and enforcing resource constraints.
This article explains how a single transistor acts as a switch, how combining AND, OR, and NOT gates yields logical completeness, how binary addition is built from these gates, and how registers, memory, instruction sets, and clock signals together form a functional CPU.
This guide walks through systematic troubleshooting of Java server problems—including CPU spikes, memory leaks, disk I/O bottlenecks, and network timeouts—by using native Linux tools and JVM utilities such as ps, top, jstack, jstat, iostat, vmstat, and netstat to pinpoint root causes and apply targeted fixes.
This article explains the fundamental principles and workflow of building an NES (Family Computer) emulator, covering ROM loading, memory mapping, CPU and PPU collaboration, graphics rendering, sprite handling, palette management, and interrupt processing with illustrative code examples.
This guide lists essential Linux commands for retrieving comprehensive hardware information—including CPU, memory, disk, network interfaces, PCI, USB, SCSI, and BIOS details—along with example outputs and explanations for each category on an Ubuntu 16.04 system.
This article explains the core principles of building a Nintendo Entertainment System (NES) emulator, covering the collaboration of CPU, PPU, and APU, memory mapping, ROM loading, instruction decoding, graphics rendering, and interrupt handling, with practical code examples.
CPUFetch is a cross‑platform command‑line utility that reports CPU architecture, model, microarchitecture, nanometer technology, frequency, core/thread count, AVX/FMA support, cache sizes, and peak performance, and this guide explains how to compile, install, run, and uninstall it on Ubuntu (and other OSes).
This article explains how the invention of assembly‑line manufacturing parallels modern CPU pipelines, why processing an ordered array can be nearly ten times faster than an unordered one, and shows a practical bit‑wise optimization to eliminate costly if‑statements for high‑performance code.
This guide explains how to use Linux command‑line utilities such as free, vmstat, top, sar, iostat, iotop, netstat, and jstack to identify memory, CPU, network, and disk performance bottlenecks, and provides practical commands for monitoring and troubleshooting each resource.
