Area Optimized Synthesis of Compressor Trees on Xilinx FPGAs Using Generalized Parallel Counters
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2941985
Abstract: Early compressor trees based on carry-save adders and single-column parallel counters show good performance in ASIC design, but do not adapt well to modern field-programmable gate arrays (FPGAs). Recently, compressor trees built from generalized parallel… read more here.
Keywords: compressor; area; compressor trees; generalized parallel ... See more keywords
Towards Composing Optimized Bi-Directional Multi-Ported Memories for Next-Generation FPGAs
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2994882
Abstract: With the proliferation of embedded computing, there has been a dramatic increase in utilization of FPGAs to accelerate real-time compute/data-intensive applications on embedded platforms. FPGA-based designs typically achieve high speed-performance by leveraging parallelism in computations,… read more here.
Keywords: multi ported; memory; multi; ported memories ... See more keywords
A Scalable Emulator for Quantum Fourier Transform Using Multiple-FPGAs With High-Bandwidth-Memory
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3183993
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 have the capability to correct errors caused… read more here.
Keywords: emulator; quantum; fpgas; high bandwidth ... See more keywords
FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2020.3000118
Abstract: Deep convolutional Neural Networks (CNNs) have revolutionized numerous applications, but the demand for ever more performance remains unabated. Scaling CNN computations to larger clusters is generally done by distributing tasks in batch mode using methods… read more here.
Keywords: cnn training; acceleration cnn; scalable acceleration; fpdeep scalable ... See more keywords
Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2021.3075765
Abstract: FPGAs are starting to incorporate High Bandwidth Memory (HBM) to both reduce the memory bandwidth bottleneck encountered in some applications and to provide more capacity to store application state. However, the overall performance characteristics of… read more here.
Keywords: performance; hbm; fpgas; memory ... See more keywords
Securing SoCs with FPGAs Against Rowhammer Attacks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3102004
Abstract: Heterogeneous SoCs integrate FPGAs and microprocessor cores on the same fabric to accelerate applications such as cryptography and deep learning. Since FPGAs share resources with the microprocessor cores, they can launch non-cacheable SDRAM transactions through… read more here.
Keywords: securing socs; rowhammer attacks; microprocessor sdram; fpgas ... See more keywords
Unified Multiple Constant Multipliers for Dynamic Exchange of Low-Precision Kernels on FPGAs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3130428
Abstract: Recent work has shown that small, fast, and power-efficient multiple constant multiplication (MCM) implementations can be realized on FPGAs rather than requiring specialized embedded multipliers. However, the limited silicon area on FPGAs requires applications such… read more here.
Keywords: topology; exchange; dynamic exchange; fpgas ... See more keywords
Floating Point Calculation of the Cube Function on FPGAs
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3220039
Abstract: Specialized arithmetic units allow fast and efficient computation of lesser used mathematical functions. The overall impact of those units would be negligible in a general purpose processor, as added circuitry makes chips more complex despite… read more here.
Keywords: calculation cube; point calculation; floating point; fpgas ... See more keywords
The Costs of Confidentiality in Virtualized FPGAs
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2019.2919644
Abstract: Some modern datacenters are augmenting their compute infrastructure by deploying field-programmable gate arrays (FPGAs) to provide users with specialized accelerators that offer superior compute capability, increased energy efficiency, lower latency, and more programming flexibility than… read more here.
Keywords: confidentiality; virtualized fpgas; costs confidentiality; confidentiality virtualized ... See more keywords