Neuromorphic Hardware Accelerator For Heterogeneous Many-Accelerator SoCs

A technical paper titled “SpikeHard: Efficiency-Driven Neuromorphic Hardware for Heterogeneous Systems-on-Chip” was published by researchers at Columbia University. Abstract: "Neuromorphic computing is an emerging field with the potential to offer performance and energy-efficiency gains over traditional machine learning approaches. Most neuromorphic hardware, however, has been designed wi... » read more

Data Management Challenges In Heterogeneous Systems

Experts at the Table: Semiconductor Engineering sat down to discuss issues in smart manufacturing of chips, including data management, chiplets, and standards, with Mujtaba Hamid, general manager for product management for secure cloud environments at Microsoft; Vijaykishan Narayanan, vice president and general manager of India engineering and operations at proteanTecs; KT Moore, vice presiden... » read more

Heterogeneous Integration As A Path Towards Sustainable Computing, Using Chiplets

A technical paper titled "Towards Sustainable Computing: Assessing the Carbon Footprint of Heterogeneous Systems" was published by researchers at Arizona State University and University of Minnesota. Abstract: "Decades of progress in energy-efficient and low-power design have successfully reduced the operational carbon footprint in the semiconductor industry. However, this has led to an incre... » read more

Research Platform for Heterogeneous Computing (ETH Zurich)

New academic paper from ETH Zurich, "HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing." Abstract: "Heterogeneous computers integrate general-purpose host processors with domain-specific accelerators to combine versatility with efficiency and high performance. To realize the full potential of heterogeneous computers, however, many hardware and software design ... » read more

Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers

Harini Muthukrishnan (U of Michigan); David Nellans, Daniel Lustig (NVIDIA); Jeffrey A. Fessler, Thomas Wenisch (U of Michigan). Abstract—"Despite continuing research into inter-GPU communication mechanisms, extracting performance from multiGPU systems remains a significant challenge. Inter-GPU communication via bulk DMA-based transfers exposes data transfer latency on the GPU’s critical... » read more

Embedded Multicore: Enablement Of Heterogeneous OSes And Mixed Criticality Systems

The implementation of multicore embedded systems is becoming increasingly common. The decision to realize a design using multiple processors may be influenced by a number of factors; broadly these are technical goals to attain, a time to market to achieve, and target design and production costs. Using multicore in a design requires a number of key decisions, which, as with most embedded systems... » read more

Creating Software Separation For Mixed Criticality Systems

The continued evolution of powerful embedded processors is enabling more functionality to be consolidated into single heterogeneous multicore devices. Mixed criticality designs, those designs which contain both safety-critical and non-safety critical processes, can successfully leverage these devices and meet the regulatory requirements for IEC safety standards and the highest level of ISO. Thi... » read more