Embedded deep learning accelerators: A survey on recent advances
The exponential increase in generated data as well as the advances in high-performance
computing has paved the way for the use of complex machine learning methods. Indeed, the …
computing has paved the way for the use of complex machine learning methods. Indeed, the …
[HTML][HTML] A Low-Cost and Lightweight Real-Time Object-Detection Method Based on UAV Remote Sensing in Transportation Systems
Accurate detection of transportation objects is pivotal for enhancing driving safety and
operational efficiency. In the rapidly evolving domain of transportation systems, the …
operational efficiency. In the rapidly evolving domain of transportation systems, the …
Simulation of Quantum Computers: Review and Acceleration Opportunities
Quantum computing has the potential to revolutionize multiple fields by solving complex
problems that can not be solved in reasonable time with current classical computers …
problems that can not be solved in reasonable time with current classical computers …
Backporting risc-v vector assembly
JKL Lee, M Jamieson, N Brown - International Conference on High …, 2023 - Springer
Leveraging vectorisation, the ability for a CPU to apply operations to multiple elements of
data concurrently, is critical for high performance workloads. However, at the time of writing …
data concurrently, is critical for high performance workloads. However, at the time of writing …
Short reasons for long vectors in HPC CPUs: a study based on RISC-V
P Vizcaino, G Ieronymakis, N Dimou… - Proceedings of the SC' …, 2023 - dl.acm.org
For years, SIMD/vector units have enhanced the capabilities of modern CPUs in High-
Performance Computing (HPC) and mobile technology. Typical commercially-available …
Performance Computing (HPC) and mobile technology. Typical commercially-available …
Polara-Keras2c: Supporting Vectorized AI Models on RISC-V Edge Devices
N El Zarif, MA Hemmat, T Dupuis, JP David… - IEEE …, 2024 - ieeexplore.ieee.org
The rise of edge computing has introduced unique challenges for deploying efficient AI
solutions in resource-limited environments. While traditional AI frameworks are powerful …
solutions in resource-limited environments. While traditional AI frameworks are powerful …
Is RISC-V ready for HPC prime-time: Evaluating the 64-core Sophon SG2042 RISC-V CPU
N Brown, M Jamieson, J Lee, P Wang - … of the SC'23 Workshops of The …, 2023 - dl.acm.org
The Sophon SG2042 is the world's first commodity 64-core RISC-V CPU for high
performance workloads and an important question is whether the SG2042 has the potential …
performance workloads and an important question is whether the SG2042 has the potential …
Automatic generation of micro-kernels for performance portability of matrix multiplication on RISC-V vector processors
In this paper, we propose and evaluate several optimized implementations of the general
matrix multiplication (gemm) on two different RISC-V architecture cores implementing the …
matrix multiplication (gemm) on two different RISC-V architecture cores implementing the …
Performance characterisation of the 64-core SG2042 RISC-V CPU for HPC
N Brown, M Jamieson - International Conference on High Performance …, 2025 - Springer
Whilst RISC-V has grown phenomenally quickly in embedded computing, it is yet to gain
significant traction in High Performance Computing (HPC). However, as we move further into …
significant traction in High Performance Computing (HPC). However, as we move further into …
Improved vectorization of OpenCV algorithms for RISC-V CPUs
VD Volokitin, EP Vasiliev, EA Kozinov… - Lobachevskii Journal of …, 2024 - Springer
The development of an open and free RISC-V architecture is of great interest for a wide
range of areas, including high-performance computing and numerical simulation in …
range of areas, including high-performance computing and numerical simulation in …