HPCASIA

GPUs are increasingly popular in HPC systems, and more applications are adopting GPUs each day. However, the control synchronization of GPUs with CPUs is suboptimal and only possible after GPU kernel termination points, resulting in serialized host and ...

Work stealing is a well-known technique for dynamic load balancing; however, manually writing work-stealing protocols is error-prone. We can use the Tascell parallel programming language for the correct and portable implementation of work stealing; the ...

This paper presents a new feature to enable Kokkos with transparent device selection. For application developers, it is not easy to identify which device is the most appropriate to use in a heterogeneous system, since this depends on the characteristics ...

In weather and climate research, latitude–longitude grid data are typically used for analysis and visualization, and remapping from model native grids to latitude–longitude grids typically requires a significant amount of time. Here, we developed a ...

We consider the problem of transforming a given symmetric matrix into a nearly block diagonal form by permutation of its rows and columns. Such a transformation is useful as preconditioning to accelerate the convergence of an eigenvalue solver, but the ...

Quantum annealing is an optimization technique that uses quantum fluctuation effects to search for solutions and is being applied as a metaheuristic method. Quantum annealing solves a problem expressed as quadratic unconstrained binary optimization (...

We present an evaluation of 32-bit POSIT arithmetic through its implementation as accelerators on FPGAs and GPUs. POSIT, a floating-point number format, adaptively changes the size of its fractional part. We developed hardware designs for FPGAs and ...

Low-latency inter-node communication is important in HPC clusters. In this work, we design and integrate a low-cost interconnect, capable for low-latency user-level communication with open-source RISC-V processors, obviating the need for bulky and ...

Systolic arrays are a promising approach to achieving high-performance processing based on highly parallelized designs in various fields, such as AI and bioinformatics. Many previous studies have devoted considerable effort to exploring efficient ...

The pipeline is a fundamental pattern to parallelize a series of stage tasks over a sequence of data in loops. Mainstream pipeline programming frameworks count on data abstractions to perform pipeline scheduling. Although this design is convenient for ...

The primary targets for improving efficiency for large-scale matrix factorization are reducing synchronization, addressing the overlap in communication and computation, and improving load balance. In recent years, tiled algorithms with task parallelism ...

Deep Neural Networks (DNNs) have become increasingly computationally intensive and have larger parameters, requiring efficient parallelization or distribution using multiple accelerators. Pipeline parallelism has been proposed as an effective way to ...

In high-performance computing, collective communication is critical for facilitating comprehensive data exchange involving all processes within an MPI communicator. Due to their inherently global nature, many collective operations present scalability ...

We present an enhanced GPU implementation of the H-P sort algorithm, which is a widely used method for integer sorting based on histogram computation and prefix sum calculation. This work extends a previous high-performance GPU version of the algorithm, ...

This paper presents a novel numerical method for the elastoplastic simulation of vehicle component structures under large deformation problems, such as crash-worthiness analysis. Elastoplastic simulation of vehicle structures is essential for designing ...

Energy efficiency has become a serious concern when running applications on HPC systems. Although these systems were designed to mainly run simulation codes as fast as possible, due to the ever-increasing size of the simulation outputs, the in situ ...

With the recent developments in computational science and HPC technology, large-scale numerical simulations have become common in various scientific and technological fields. The output volume data from these simulations have also become larger and more ...