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  • Design-Technology Co-Optimization (DTCO) Accelerates Market Readiness of Angstrom-Scale Process Technologies

    ➀ DTCO has transformed into a predictive strategy enabling co-development of process and design, exemplified by Synopsys' collaboration with Intel on 18A technology;

    ➁ Key advancements include RibbonFET alignment and PowerVia optimization, boosting design productivity and power efficiency in Intel’s 18A process;

    ➂ Synopsys’ PICO framework expands DTCO’s scope, ensuring full-stack optimization and enabling faster market readiness through pre-silicon validation.

    IntelSynopsysDTCO
  • Optimizing an IR for Hardware Design. Innovation in Verification

    ➀ LLHD, a multi-level intermediate representation (IR) for hardware design, aims to bridge high-level languages and machine code, offering optimization opportunities across EDA workflows;

    ➀ Cadence’s Paul Cunningham highlights LLHD’s potential for academic research but notes challenges in commercial adoption due to maturity barriers;

    ➂ Raúl Camposano acknowledges LLHD’s alignment with open-source compiler innovations but questions its scalability compared to software ecosystems.

    EDAHPCsoftware

May 27

  • WEBINAR: PCIe 7.0? Understanding Why Now Is the Time to Transition

    ➀ PCIe 7.0 achieves 128 GT/s bandwidth with PAM4 signaling and enhanced error correction, extending the innovations of PCIe 6.0;

    ➁ Key challenges involve managing multiple data movers and link layers, favoring bifurcation and dual-port interfaces over ultra-high clock speeds;

    ➂ PCIe 7.0 provides SoC designers flexibility for AI/HPC systems due to its cost-efficiency and low pin count compared to parallel buses.

    SynopsysPCIeHPC
  • Andes Technology: Powering the Full Spectrum – from Embedded Control to AI and Beyond

    ➀ Andes Technology offers a comprehensive RISC-V processor portfolio spanning embedded control, AI/ML acceleration, and high-performance computing (HPC), with cores ranging from ultra-low-power D23 to Linux-capable multicore AX60;

    ➁ The AndesAIRE platform enables tailored AI inference engines through automated custom instructions and RISC-V vector extensions, with deployments in Meta's recommendation systems and EdgeQ's 5G chips;

    ➂ Automotive-grade ISO 26262 ASIL-D certified processors and cybersecurity applications with Cornami's FHE solutions demonstrate cross-industry adoption, cementing Andes' 30% RISC-V market leadership.

    RISC-VAI chipHPC

May 26

  • From All-in-One IP to Cervell™: How Semidynamics Reimagined AI Compute with RISC-V

    ➀ Semidynamics' Cervell™ integrates CPU, vector, and tensor units into a unified RISC-V-based NPU, eliminating external CPU dependencies and performance bottlenecks;

    ➁ The architecture enables scalability from edge IoT devices to datacenters (up to 256 TOPS), with shared memory and customizable instructions through RISC-V's open ecosystem;

    ➂ Cervell challenges traditional NPUs by offering programmability, coherent task execution, and a simplified software stack for AI model optimization.

    AI chipRISC-VSemidynamics

May 24

May 22

  • Infinisim Enables a Path to Greater Profitability and a Competitive Edge

    ➀ Clock jitter significantly impacts chip performance, yield, and reliability, exacerbated by shrinking design margins in advanced process nodes;

    ➁ Infinisim's advanced clock verification platform enables precise analysis of jitter sources (e.g., PLL and PDN variations), surpassing traditional design margin approaches;

    ➂ By reducing conservative margins, Infinisim helps semiconductor companies maximize chip performance and profitability, avoiding market share loss through optimized clock strategies.

    InfinisimSoCClock Jitter

May 21

  • Sébastien Dauvé with CEO of CEA-Leti

    ➀ Sébastien Dauvé, CEO of CEA-Leti, leads a leading European institute focused on microelectronics and nanotechnology, driving innovations in AI, quantum computing, and sustainable tech;

    ➁ CEA-Leti's 'lab-to-fab' model bridges R&D and industrial scaling, supported by partnerships under initiatives like the European Chips Act and the FAMES pilot line;

    ➂ The institute prioritizes cross-disciplinary collaboration and environmental impact, addressing challenges in healthcare, energy efficiency, and Europe's technological sovereignty.

    SEMiconductorCEA-LetiAI
  • Turnkey Multi-Protocol Wireless for Everyone

    ➀ IoT devices require integrated wireless solutions to reduce costs and complexity;

    ➁ CEVA's Links200 platform provides a turnkey multi-protocol solution supporting Bluetooth 6.0, Auracast, and 802.15.4 standards;

    ➂ Combines low-power RF design with AI-enhanced features for wearables and smart homes.

    IoTBluetoothCEVA

May 20

  • Alchip’s Technology and Global Talent Strategy Deliver Record Growth

    ➀ Alchip achieved record revenue of $1.62B in 2024 through leadership in 2nm/3nm ASIC design and chiplet-based packaging solutions;

    ➁ Strategic global talent redistribution focuses on Taiwan, Japan, and SEA, with Vietnam and Malaysia engineering teams doubling by 2025;

    ➂ Completed 18 TSMC CoWoS designs—the most among ASIC partners—enabling heterogeneous integration for AI/HPC systems.

    AlchipHPC3nmChipletCoWoSTSMC
  • The Journey of Interface Protocols: Adoption and Validation of Interface Protocols – Part 2 of 2

    ➀ The interface protocol industry is consolidating due to compressed development timelines, with only large IP providers able to sustain investments in cutting-edge protocols like PCIe Gen6 and CXL.

    ➁ Security mechanisms like hardware root-of-trust and protocol-level encryption (e.g., PCIe IDE) have become fundamental to modern interface designs, requiring rigorous RTL validation.

    ➂ Hardware-assisted verification platforms (emulation/prototyping) now enable billions of test cycles for protocols like PCIe Gen5, reducing validation time by 50% through integrated solutions like SVK and IPK.

    PCIecybersecurityEDA

May 17

  • CEO Interview with Sudhanshu Misra of ChEmpower Corporation

    ➀ ChEmpower Corporation leverages 25+ years of expertise to develop abrasive-free CMP pads, revolutionizing semiconductor planarization by eliminating defects and enabling eco-friendly manufacturing;

    ➁ Their technology addresses a $3B market with a $12B potential, targeting copper interconnects, advanced packaging, and sub-10nm nodes for AI chips and HBM applications;

    ➂ By integrating chemistry and materials innovation, ChEmpower uniquely competes against giants like DuPont while expanding into molybdenum and ruthenium solutions for next-gen chip materials.

    Chiplet3D ICHPC
  • CEO Interview with Thar Casey of AmberSemi

    ➀ AmberSemi, a fabless semiconductor company, pioneers next-gen power management solutions with patented digital control and vertical power delivery, targeting 50% efficiency improvements in AI data centers;

    ➁ Its two core technologies—advanced power conversion and solid-state switching—eliminate cascade failures (3,000x faster protection) and reduce AI server power losses, saving $4B/year;

    ➂ The company collaborates with 50+ alpha/beta customers, with AC-DC conversion and protection product lines launching in 2024-2025 to address AI's escalating power demands.

    AIHPCGPU

May 15

May 14

  • Safeguard power domain compatibility by finding missing level shifters

    ➀ Level shifters are crucial for voltage compatibility in mixed-signal IC designs, but missing them is common due to design complexity and human factors;

    ➁ Missing level shifters can cause signal errors, device damage, and power inefficiency, especially in multi-voltage domain designs;

    ➂ Siemens EDA's Insight Analyzer tool enables early detection of missing level shifters through advanced voltage analysis without requiring simulation.

    EDASEMiconductorHPC
  • A Timely Update on Secure-IC

    ➀ Cadence announced plans to acquire Secure-IC in 2025, highlighting its role in providing end-to-end security solutions across automotive, defense, and IoT markets;

    ➁ Secure-IC's Securyzr platform offers comprehensive security services, including post-quantum cryptography, AI-driven threat detection, and cloud-based fleet management for device lifecycle security;

    ➂ The company supports compliance with global standards (e.g., FIPS, Common Criteria) and provides specialized tools for side-channel attack analysis, positioning itself as a critical partner for security-sensitive industries.

    cybersecurityautomotiveSEMiconductor

May 13

  • The Journey of Interface Protocols: The Evolution of Interface Protocols – Part 1 of 2

    ➀ The rise of AI has intensified demands for hardware performance, driving rapid evolution of interface protocols like PCIe and Ethernet to support high bandwidth and low latency;

    ➁ New protocols such as UCIe and Ultra Accelerator Link are emerging to address AI-specific needs, enabling multi-die architectures and cache coherency across CPUs/GPUs;

    ➂ Protocol complexity has surged, with PCIe Gen 7 specifications exceeding 2,000 pages and Ultra Ethernet targeting 224 GB/s speeds to compete with NVIDIA's NVLink.

    AIPCIeEthernet
  • Leveraging Common Weakness Enumeration (CWEs) for Enhanced RISC-V CPU Security

    ➀ RISC-V的开放性和可定制性带来了硬件安全风险,需在芯片设计早期进行威胁检测;

    ➁ MITRE CWE框架新增108个硬件相关漏洞分类,并针对瞬态执行攻击(如Spectre和Meltdown)引入三类微架构缺陷枚举;

    ➂ Cycuity的Radix工具通过架构无关的信息流分析,支持RISC-V芯片设计中的安全验证与漏洞预防。

    RISC-VcybersecurityCycuity

May 12

  • Metal fill extraction: Breaking the speed-accuracy tradeoff

    ➀ Metal fill is critical for semiconductor manufacturing to ensure layer uniformity and thermal management, but introduces parasitic capacitances affecting circuit performance;

    ➁ Traditional extraction methods struggle with accuracy-efficiency tradeoffs, causing timing violations and delayed iterations;

    ➂ Siemens' adaptive metal fill extraction technique achieves 4x faster runtime with minimal accuracy loss through context-aware parasitic modeling.

    EDASEMiconductorHPC
  • How Arteris is Revolutionizing SoC Design with Smart NoC IP

    ➀ Arteris demonstrated Smart NoC technology at IP-SoC Days, addressing the growing complexity of SoC design through automation and AI-driven optimization.

    ➁ FlexGen, its non-coherent NoC IP, accelerates chip design by up to 10x, reduces wire length by 30%, and supports diverse processor architectures (Arm, RISC-V, x86).

    ➂ With over 3.7B SoCs shipped and 90%+ customer retention, Arteris technologies are used by 9 of the top 10 semiconductor companies.

    EDAHPCAI chip

May 11

  • CEO Interview with Ido Bukspan of Pilops

    ➀ Pliops accelerates GenAI infrastructure performance through its XDP LightningAI, improving data access by 50x while reducing computational load;

    ➁ The company focuses on GPU-centric solutions to enhance AI/ML applications' efficiency, cutting power consumption and carbon footprint;

    ➂ Pliops addresses critical challenges in data center power constraints and AI infrastructure margins through innovative memory tiering and resource optimization.

    AIGPUHPC
  • CEO Interview with Roger Cummings of PEAK:AIO

    ➀ PEAK:AIO develops software-defined storage systems converting commodity hardware into AI-optimized infrastructure, addressing data bottlenecks in enterprises.

    ➁ The company targets healthcare, life sciences, and government sectors, supporting high-impact projects like UK's NHS and LANL research with 6X performance improvements.

    ➂ With CXL/NVMe integrations and dynamic tiered storage, PEAK:AIO differentiates from legacy vendors through energy efficiency, simplicity, and workload-specific architectures.

    AIStorage SolutionsHPC

May 8

  • Analog Bits Steals the Show with Working IP on TSMC 3nm and 2nm and a New Design Strategy

    ➀ Analog Bits demonstrated six precision analog IP blocks on TSMC's cutting-edge 2nm process at the TSMC Technology Symposium, including PLLs with 5-2000MHz frequency range and sub-0.8ps jitter performance.

    ➁ The company showcased its Intelligent Power Architecture for multi-die systems, integrating PVT sensors, droop detectors, and LDO regulators to address power management challenges in advanced packaging designs.

    ➂ Proven pinless IP technology enabling core-voltage-only operation was highlighted as crucial for sub-3nm nodes, with production validation already completed on N5 and N3 processes.

    Analog Bits3nm2nm
  • RISC-V Virtualization and the Complexity of MMUs

    ➀ RISC-V is expanding from microcontroller to application processors and data center servers, requiring robust virtualization support through MMU standards;

    ➁ The RISC-V MMU standard introduces complexity due to its recent finalization, ISA extensions, and generalized design, challenging verification teams;

    ➂ Breker's SystemVIP tool addresses MMU verification gaps, offering testplan frameworks despite ongoing refinements and debates over compliance.

    RISC-VBrekerVirtualization

May 7

  • Beyond the Memory Wall: Unleashing Bandwidth and Crushing Latency

    ➀ VSORA's TCM architecture minimizes data movement and reduces latency through register-like memory access;

    ➁ Reconfigurable compute tiles enable dynamic precision switching and high utilization for AI workloads;

    ➂ An intelligent compiler automates LLM deployment, bypassing GPU memory bottlenecks for edge and data-center applications

    VSORAMemory WallAI Inference
  • Intel’s Foundry Transformation: Technology, Culture, and Collaboration

    ➀ Intel is undergoing a cultural shift from product-centric to customer-focused foundry operations, partnering with UMC to target the 12nm process node for a $20B market by 2028;

    ➁ Parallel development at UMC's Taiwan facility and Intel's Arizona site supports geo-diversified manufacturing, with 12nm offering 28% better performance and 47% lower power than previous nodes;

    ➂ The collaboration accelerates Intel's cultural transformation by leveraging UMC's foundry expertise in customer service and operational efficiency.

    IntelUMC12nm
  • Speculative Execution: Rethinking the Approach to CPU Scheduling

    ➀ Speculative execution, pioneered by IBM 360, improves CPU performance through branch prediction but introduces complexity and security risks;

    ➁ Modern implementations consume 25-35% of silicon area and 20% power, with vulnerabilities like Spectre requiring performance-sacrificing patches;

    ➂ Dr. Thang Tran proposes predictive execution models to eliminate speculative overheads, offering energy-efficient and secure alternatives for AI and cloud computing.

    CPUcybersecurityHPC

April 1