high performance computing on graphics processing units: hgpu.org

Graphics processing units (GPUs) have become essential accelerators in the fields of artificial intelligence (AI), high-performance computing (HPC), and data analytics, offering substantial performance improvements over traditional computing resources. In 2022, NVIDIA’s release of the Hopper architecture marked a significant advancement in GPU design by adding a new hierarchical level to their CUDA programming model: […]

Modern high-end systems are increasingly becoming heterogeneous, providing users options to use general purpose Graphics Processing Units (GPU) and other accelerators for additional performance. High Performance Computing (HPC) and Artificial Intelligence (AI) applications are often carefully arranged to overlap communications and computation for increased efficiency on such platforms. This has led to efforts to extend […]

The computation of the domination-type parameters is a challenging problem in Cartesian product graphs. We present an algorithmic method to compute the 2-domination number of the Cartesian product of a path with small order and any cycle, involving the (min,+) matrix product. We establish some theoretical results that provide the algorithms necessary to compute that […]

The Lattice Boltzmann Method (LBM) is a computational technique of Computational Fluid Dynamics (CFD) that has gained popularity due to its high parallelism and ability to handle complex geometries with minimal effort. Although LBM frameworks are increasingly important in various industries and research fields, their complexity makes them difficult to modify and can lead to […]

Field-programmable gate array (FPGA) vendors provide high-level synthesis (HLS) compilers with accompanying OpenCL runtimes to enable easier use of their devices by non-hardware experts. However, the current runtimes provided by the vendors are not OpenCL-compliant, limiting the application portability and making it difficult to integrate FPGA devices in heterogeneous computing platforms. We propose an automated […]

In recent years, a multitude of AI solutions has emerged to facilitate code generation, commonly known as Language Model-based Programming (LLM). These tools empower programmers to automate their work. Automatic programming also falls within the domain of optimizing compilers, primarily based on the polyhedral model, which processes loop nests concentrating most computations. This article focuses […]

GPUs are the heart of the latest generations of supercomputers. We efficiently accelerate a compressible multiphase flow solver via OpenACC on NVIDIA and AMD Instinct GPUs. Optimization is accomplished by specifying the directive clauses ‘gang vector’ and ‘collapse’. Further speedups of six and ten times are achieved by packing user-defined types into coalesced multidimensional arrays […]

In recent years, GPUs have become the preferred accelerators for HPC and ML applications due to their parallelism and fast memory bandwidth. While GPUs boost computation, inter-GPU communication can create scalability bottlenecks, especially as the number of GPUs per node and cluster grows. Traditionally, the CPU managed multi-GPU communication, but advancements in GPU-centric communication now […]

As the interest in FPGA-based accelerators for HPC applications increases, new challenges also arise, especially concerning different programming and portability issues. This paper aims to provide a snapshot of the current state of the FPGA tooling and its problems. To do so, we evaluate the performance portability of two frameworks for developing FPGA solutions for […]

Modern programming languages provide programmers with rich abstractions for data collections as part of their standard libraries, e.g., Containers in the C++ STL, the Java Collections Framework, or the Scala Collections API. Typically, these collections frameworks are organised as hierarchies that provide programmers with common abstract data types (ADTs) like lists, queues, and stacks. While […]

Real-time rendering applications leverage heterogeneous computing to optimize performance. However, software development across multiple devices presents challenges, including data layout inconsistencies, synchronization issues, resource management complexities, and architectural disparities. Additionally, the creation of such systems requires verbose and unsafe programming models. Recent developments in domain-specific and unified shading languages aim to mitigate these issues. Yet, […]

Parallel computing is a standard approach to achieving high-performance computing (HPC). Three commonly used methods to implement parallel computing include: 1) applying multithreading technology on single-core or multi-core CPUs; 2) incorporating powerful parallel computing devices such as GPUs, FPGAs, and other accelerators; and 3) utilizing special parallel architectures like Single Instruction/Multiple Data (SIMD). Many researchers […]