Detecting Defect-Induced Silent Data Corruptions in CPUs (Stanford, Google)


Researchers from Stanford University and Google have published “ITHICA: Intra-Thread Instruction Checking Approach for Defect-Induced Silent Data Corruptions”. Abstract “Hyperscaler reports of silent data corruptions (SDCs)—presumed to be caused by silicon manufacturing defects—have motivated the development of functional tests for detecting defective CPUs and their use in h... » read more

Co-optimization Approaches For Reliable and Efficient AI Acceleration (Peking University et al.)


A new technical paper titled "The Quest for Reliable AI Accelerators: Cross-Layer Evaluation and Design Optimization" was published by researchers at Peking University and Beijing Advanced Innovation Center for Integrated Circuits. Abstract "As the CMOS technology pushes to the nanoscale, aging effects and process variations have become increasingly pronounced, posing significant reliabilit... » read more

Shifting the Burden of Tool Safety Compliance from Users to Vendor


The security, safety and performances of autonomous vehicles, railways, aerospace, nuclear power plants and medical devices rely on electronic systems and their hardware components. Engineers use advanced software tools to develop complex hardware. Tools may malfunction, generate erroneous output and ultimately introduce or fail to detect systematic hardware faults that could cause hazardous ev... » read more