DRAM Test And Inspection Just Gets Tougher


DRAM manufacturers continue to demand cost-effective solutions for screening and process improvement amid growing concerns over defects and process variability, but meeting that demand is becoming much more difficult with the rollout of faster interfaces and multi-chip packages. DRAM plays a key role in a wide variety of electronic devices, from phones and PCs to ECUs in cars and servers ins... » read more

Generative AI Training With HBM3 Memory


One of the biggest, most talked about application drivers of hardware requirements today is the rise of Large Language Models (LLMs) and the generative AI which they make possible.  The most well-known example of generative AI right now is, of course, ChatGPT. ChatGPT’s large language model for GPT-3 utilizes 175 billion parameters. Fourth generation GPT-4 will reportedly boost the number of... » read more

HBM’s Future: Necessary But Expensive


High-bandwidth memory (HBM) is becoming the memory of choice for hyperscalers, but there are still questions about its ultimate fate in the mainstream marketplace. While it’s well-established in data centers, with usage growing due to the demands of AI/ML, wider adoption is inhibited by drawbacks inherent in its basic design. On the one hand, HBM offers a compact 2.5D form factor that enables... » read more

Pinpointing Timing Delays Can Improve Chip Reliability


Growing pressure to improve IC reliability in safety- and mission-critical applications is fueling demand for custom automated test pattern generation (ATPG) to detect small timing delays, and for chip telemetry circuits that can assess timing margin over a chip's lifetime. Knowing the timing margin in signal paths has become an essential component in that reliability. Timing relationships a... » read more

Automated Tool Flow From Domain-Specific Languages To Generate Massively Parallel Accelerators on HBM-Equipped FPGAs


A new technical paper titled "Automatic Creation of High-bandwidth Memory Architectures from Domain-specific Languages: The Case of Computational Fluid Dynamics" was published by researchers at Politecnico di Milano and TU Dresden. The paper states "In this article, we propose an automated tool flow from a domain-specific language for tensor expressions to generate massively parallel acceler... » read more

HBM-Enabled FPGA-Based Graph Processing Accelerator


A technical paper titled "ACTS: A Near-Memory FPGA Graph Processing Framework" was published by researchers at University of Virginia and Samsung. Abstract: "Despite the high off-chip bandwidth and on-chip parallelism offered by today's near-memory accelerators, software-based (CPU and GPU) graph processing frameworks still suffer performance degradation from under-utilization of available ... » read more

Advanced Packaging for High-Bandwidth Memory: Influences of TSV size, TSV Aspect Ratio And Annealing Temperature


A technical paper titled "Stress Issue of Vertical Connections in 3D Integration for High-Bandwidth Memory Applications" was published by researchers at National Yang Ming Chiao Tung University. Abstract: "The stress of TSV with different dimensions under annealing condition has been investigated. Since the application of TSV and bonding technology has demonstrated a promising approach for ... » read more

Where Power Is Spent In HBM


HBM is gaining ground because of a spike in the amount of data that needs to be processed quickly, but big reductions in power are possible if that processing can be moved closer to the HBM modules, and if more can be done in each compute cycle without sending data back and forth to memory as frequently. Steven Woo, fellow and distinguished engineer at Rambus, talks about what can be done to bo... » read more

HBM-based scalable multi-FPGA emulator for Quantum Fourier Transform (QFT)


New technical paper titled "A Scalable Emulator for Quantum Fourier Transform Using Multiple-FPGAs With High-Bandwidth-Memory" from researchers at Tohoku University in Japan. Abstract: "Quantum computing is regarded as the future of computing that hopefully provides exponentially large processing power compared to the conventional digital computing. However, current quantum computers do not... » read more

A Practical Approach To DFT For Large SoCs And AI Architectures, Part II


By Rahul Singhal and Giri Podichetty Part I of this article discusses the design-for-test (DFT) challenges of AI designs and strategies to address them at the die level. This part focuses on the test requirements of AI chips that integrate multiple dies and memories on the same package. Why 2.5D/3D chiplet-based designs for AI SoCs? Many semiconductor companies are adopting chiplet-based d... » read more

← Older posts Newer posts →