category: Architectures

category: IoT, Security & Automotive

Survey of Energy Efficient PIM Processors
By Technical Paper Link - 01 Aug, 2024 - Comments: 0

A new technical paper titled "Survey of Deep Learning Accelerators for Edge and Emerging Computing" was published by researchers at University of Dayton and the Air Force Research Laboratory. Abstract "The unprecedented progress in artificial intelligence (AI), particularly in deep learning algorithms with ubiquitous internet connected smart devices, has created a high demand for AI compu... » read more

Co-optimizing HW Architecture, Memory Footprint, Device Placement And Per-Chip Operator Scheduling (Georgia Tech, Microsoft)
By Technical Paper Link - 28 Jul, 2024 - Comments: 0

A technical paper titled “Integrated Hardware Architecture and Device Placement Search” was published by researchers at Georgia Institute of Technology and Microsoft Research. Abstract: "Distributed execution of deep learning training involves a dynamic interplay between hardware accelerator architecture and device placement strategy. This is the first work to explore the co-optimization ... » read more

CHERI RISC-V: HW Extension for Conditional Capabilities
By Technical Paper Link - 28 Jul, 2024 - Comments: 0

A technical paper titled “Mon CHÈRI <3 Adapting Capability Hardware Enhanced RISC with Conditional Capabilities” was published by researchers at Ericsson Security Research, Université Libre de Bruxelles, and KU Leuven. Abstract: "Up to 10% of memory-safety vulnerabilities in languages like C and C++ stem from uninitialized variables. This work addresses the prevalence and lack of ade... » read more

Using Diffusion Models to Generate Chip Placements (UC Berkeley)
By Technical Paper Link - 27 Jul, 2024 - Comments: 0

A technical paper titled “Chip Placement with Diffusion” was published by researchers at UC Berkeley. Abstract: "Macro placement is a vital step in digital circuit design that defines the physical location of large collections of components, known as macros, on a 2-dimensional chip. The physical layout obtained during placement determines key performance metrics of the chip, such as power... » read more

Survey of CXL Implementations and Standards (Intel, Microsoft)
By Technical Paper Link - 22 Jul, 2024 - Comments: 0

A new technical paper titled "An Introduction to the Compute Express Link (CXL) Interconnect" was published by researchers at Intel Corporation, Microsoft, and University of Washington. Abstract "The Compute Express Link (CXL) is an open industry-standard interconnect between processors and devices such as accelerators, memory buffers, smart network interfaces, persistent memory, and solid-... » read more

Improving Performance and Power Efficiency By Safely Eliminating Load Instruction Execution (ETH Zürich, Intel)
By Technical Paper Link - 22 Jul, 2024 - Comments: 0

A technical paper titled “Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution” was published by researchers at ETH Zürich and Intel Corporation.  This paper earned the Best Paper Award in the International Symposium on Computer Architecture (ISCA). Abstract: "Load instructions often limit instruction-level parallelism (ILP) in modern pr... » read more

NVMs: In-Memory Fine-Grained Integrity Verification Technique (Intel Labs, IISc)
By Technical Paper Link - 16 Jul, 2024 - Comments: 0

A new technical paper titled "iMIV: in-Memory Integrity Verification for NVM" was published by researchers at Intel Labs and Indian Institute of Science (IISc), Bengaluru. Abstract "Non-volatile Memory (NVM) could bridge the gap between memory and storage. However, NVMs are susceptible to data remanence attacks. Thus, multiple security metadata must persist along with the data to protect th... » read more

In Situ Backpropagation Strategy That Progressively Updates Neural Network Layers Directly in HW (TU Eindhoven)
By Technical Paper Link - 16 Jul, 2024 - Comments: 0

A new technical paper titled "Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks" was published by researchers at Eindhoven University of Technology. Abstract "Neural network training can be slow and energy-expensive due to the frequent transfer of weight data between digital memory and processing units. Neuromorp... » read more

On-Chip Communication For Programmable Accelerators In Heterogeneous SoCs (Columbia, IBM)
By Technical Paper Link - 10 Jul, 2024 - Comments: 0

A technical paper titled “Towards Generalized On-Chip Communication for Programmable Accelerators in Heterogeneous Architectures” was published by researchers at Columbia University and IBM Thomas J. Watson Research Center. Abstract: "We present several enhancements to the open-source ESP platform to support flexible and efficient on-chip communication for programmable accelerators in het... » read more

Roadmap To Neuromorphic Computing (Collaboration of 27 Universities/Companies)
By Technical Paper Link - 09 Jul, 2024 - Comments: 0

A technical paper titled “Roadmap to Neuromorphic Computing with Emerging Technologies” was published by researchers at University College London, Politecnico di Milano, Purdue University, ETH Zurich and numerous other institutions. Summary: "The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, ana... » read more

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