Enabling Innovative Multi-Vendor Chiplet-Based Designs


Chiplets have emerged as a critical implementation paradigm for semiconductor products, primarily because they can deliver cost benefits relative to a non-chiplet-based approach. The first, most well-proven, and obvious benefit of a chiplet-based approach is manufacturing cost. Manufacturing cost benefits are accrued either from the appropriate selection of chiplet die size, or by optimizin... » read more

DDR5 UDIMM Evolution To Clock Buffered DIMMs (CUDIMM)


DDR5 is the latest generation of PCDDR memory that is used in a wide range of application like data centers, Laptops and personal computers, autonomous driving systems, servers, cloud computing, and gaming are now increasingly being used for AI applications with advances in memory bandwidth and density to allow DDR5 DIMMs (Dual Inline Memory Modules) to support densities higher then 256 GB per ... » read more

Optimizing Wafer Edge Processes For Chip Stacking


Stacking chiplets vertically using short and direct wafer-to-wafer bonds can reduce signal delay to negligible levels, enabling smaller, thinner packages with faster memory/processor speeds and lower power consumption. The race is on to implement wafer stacking and die-to-wafer hybrid bonding, now considered essential for stacking logic and memory, 3D NAND, and possibly multi-layer DRAM stac... » read more

Memory Fundamentals For Engineers


Memory is one of a very few elite electronic components essential to any electronic system. Modern electronics perform extraordinarily complex duties that would be impossible without memory. Your computer obviously contains memory, but so does your car, your smartphone, your doorbell camera, your entertainment system, and any other gadget benefiting from digital electronics. This eBook prov... » read more

DDR5 12.8Gbps MRDIMM IP: Powering The Future Of AI, HPC, And Data Centers


The demand for higher-performance computing is greater than ever. Cutting-edge applications in artificial intelligence (AI), big data analytics, and databases require high-speed memory systems to handle the ever-increasing volumes and complexities of data. Advancements in cloud computing and machine virtualization are stretching the limits of current capabilities. AI applications hosted in the ... » read more

Scalable Chiplet System for LLM Training, Finetuning and Reduced DRAM Accesses (Tsinghua University)


A new technical paper titled "Hecaton: Training and Finetuning Large Language Models with Scalable Chiplet Systems" was published by researchers at Tsinghua University. Abstract "Large Language Models (LLMs) have achieved remarkable success in various fields, but their training and finetuning require massive computation and memory, necessitating parallelism which introduces heavy communicat... » read more

Chip Industry Week in Review


The Biden-Harris Administration announced preliminary terms with HP for $50 million in direct funding under the CHIPs and Science Act to support the expansion and modernization of HP’s existing microfluidics and microelectromechanical systems (“MEMS”) facility in Corvallis, Oregon. CHIPS for America launched the CHIPS Metrology Community, a collaborative initiative designed to advance ... » read more

A New Low-Cost HW-Counterbased RowHammer Mitigation Technique


A technical paper titled “ABACuS: All-Bank Activation Counters for Scalable and Low Overhead RowHammer Mitigation” was presented at the August 2024 USENIX Security Symposium by researchers at ETH Zurich. Abstract: "We introduce ABACuS, a new low-cost hardware-counterbased RowHammer mitigation technique that performance-, energy-, and area-efficiently scales with worsening Ro... » read more

Chip Industry Week In Review


The U.S. Department of Commerce and Texas Instruments (TI) signed a non-binding preliminary memorandum of terms to provide up to $1.6 billion in CHIPS Act funding towards TI’s investment of over $18 billion for three 300mm semiconductor wafer fabs under construction in Texas and Utah. TI also expects to get about $6 billion to $8 billion from the U.S. Department of Treasury’s Investmen... » read more

Improving Parasitic Capacitance In Next-Generation DRAM Devices


As conventional DRAM devices continue to shrink, increases in parasitic capacitance at smaller dimensions can negatively impact device performance. New DRAM structures may be needed in the future, to lower total capacitance and achieve acceptable device performance. In this study, we compare the parasitic capacitance of a 6F2 honeycomb dynamic random-access memory (DRAM) device to the parasitic... » read more

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