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SW/HW Framework for for GASNet-enabled FPGA Hardware Acceleration Infrastructure


Researchers from KAIST and Flapmax published a new technical paper titled "FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure." Abstract "By providing highly efficient one-sided communication with globally shared memory space, Partitioned Global Address Space (PGAS) has become one of the most promising parallel computing model... » read more

New Way To Control Spin Currents At Room Temperature


New technical paper titled "Spin manipulation by giant valley-Zeeman spin-orbit field in atom-thick WSe2." from researchers at Beihang University (China) and University of British Columbia. Abstract: "The phenomenon originating from spin–orbit coupling provides energy-efficient strategies for spin manipulation and device applications. The broken inversion symmetry interface and the result... » read more

Effectiveness of a Reinforcement-Learning Based Dynamic Power Manager In a SW Framework


New technical paper titled "Low-Overhead Reinforcement Learning-Based Power Management Using 2QoSM" from researchers at ETH Zurich and Georgia Tech. Abstract "With the computational systems of even embedded devices becoming ever more powerful, there is a need for more effective and pro-active methods of dynamic power management. The work presented in this paper demonstrates the effectiven... » read more

MIT: Computing Power Impact on 5 Domains


New technical paper titled "The Importance of (Exponentially More) Computing Power" from researchers at MIT CSAIL and Sloan School of Management. Abstract "Denizens of Silicon Valley have called Moore's Law "the most important graph in human history," and economists have found that Moore's Law-powered I.T. revolution has been one of the most important sources of national productivity growth... » read more

MIT & UC Berkeley: “Exo” Programming Language Writes High Performance Code For HW Accelerators


New research paper titled "Exocompilation for productive programming of hardware accelerators," from researchers at MIT and UC Berkeley. From their abstract: "To better support development of high-performance libraries for specialized hardware, we propose a new programming language, Exo, based on the principle of exocompilation: externalizing target-specific code generation support and op... » read more

ISA Extension For Low-Precision NN Training On RISC-V Cores


New technical paper titled "MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V cores" from researchers at IIS, ETH Zurich; DEI, University of Bologna; and Axelera AI. Abstract "Low-precision formats have recently driven major breakthroughs in neural network (NN) training and inference by reducing the memory footprint of the N... » read more

Hertzbleed: A New Family of Side-Channel Attacks–Root Case: Dynamic Frequency Scaling


  New research paper titled "Hertzbleed: Turning Power Side-Channel Attacks Into Remote Timing Attacks on x86" from researchers at UT Austin, University of Illinois Urbana-Champaign (UIUC) and University of Washington can be found here. (preprint). This paper will be presented at the 31st USENIX Security Symposium (Boston, 10–12 August 2022). Summary explanation of the Hertzbleed ... » read more

Quantum Batteries Constructed of a Microcavity Enclosing a Molecular Dye


Research paper titled "Superabsorption in an organic microcavity: Toward a quantum battery" from researchers at University of Adelaide (Australia), University of Sheffield (UK), Politecnico di Milano (Italy), University of St Andrews (UK), and Heriot-Watt University. Abstract (Partial) "Here, we implement experimentally a paradigmatic model of a quantum battery, constructed of a microcavity... » read more

Charging Power of Quantum Batteries


New technical paper titled "Quantum Charging Advantage Cannot Be Extensive Without Global Operations" from researchers at Institute for Basic Science (IBS) and Seoul National University. Abstract "Quantum batteries are devices made from quantum states, which store and release energy in a fast and efficient manner, thus offering numerous possibilities in future technological applications... » read more

Designing Hardware Accelerators Using A Data-Driven Approach


Research paper titled "Data-Driven Offline Optimization For Architecting Hardware Accelerators" by researchers at Google Research and UC Berkeley. Abstract "Industry has gradually moved towards application-specific hardware accelerators in order to attain higher efficiency. While such a paradigm shift is already starting to show promising results, designers need to spend considerable man... » read more

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