Browse Proceedings

One of the main challenges of distributed memory programming is achieving efficient access to data. Low-level programming paradigms such as MPI and SHMEM require programmers to explicitly move data between compute nodes, which typically results in ...

The iCetus tool is a new interactive parallelizer, providing users with a range of capabilities for the source-to-source transformation of C programs using OpenMP directives in shared memory machines. While the tool can parallelize code fully ...

Modern compilers have relied on various best-effort heuristics to solve the register allocation problem due to its high computation complexity. A “greedy” algorithm that performs a scan of prioritized live intervals for allocation followed by ...

With an increasing number of shared memory multicore processor architectures, there is a requirement for supporting multiple architectures in automatic parallelizing compilers. The OSCAR (Optimally Scheduled Advanced Multiprocessor) automatic ...

With the advent of heterogeneous architectures, in particular, with the ubiquity of multi-GPU systems, it is becoming increasingly important to manage device memory efficiently in order to reap the benefits of the additional core count. To date, ...

ORKA-HPC is a new and downloadable OpenMP-to-FPGA compiler that is easy to set up, easy to use, and easy to extend. It targets a variety of different FPGA-boards, and is distributed with a “batteries included” runtime and development environment.

...

Graph neural networks (GNNs) are emerging as a powerful technique for modeling graph structures. Due to the sparsity of real-world graph data, GNN performance is limited by extensive sparse matrix multiplication (SpMM) operations involved in ...

Sparse triangular solve, SpTS, is an important and recurring component of many sparse linear solvers that are extensively used in many big-data analytics and machine learning algorithms. Despite its inherent sequential execution, a number of ...

Scientific applications, especially legacy applications, contain a wealth of scientific knowledge. As hardware changes, applications need to be ported to new architectures and extended to include scientific advances. As a result, it is common to ...