26,098 papers · page 477 of 1,305
Stencil computations are an important class of compute and data intensive programs that occur widely in scientific and engineeringapplications. A number of tools use sophisticated tiling, parallelization, and memory mapping strategies, and generate code that relies on vendor-supp…
The four-index integral transform is a fundamental and computationally demanding calculation used in many computational chemistry suites such as NWChem. It transforms a four-dimensional tensor from one basis to another. This transformation is most efficiently implemented as a seq…
RCU is, among other things, a well known mechanism for memory reclamation that is meant to be used in languages without an automatic Garbage Collector, unfortunately, it requires operating system support, which is currently provided only in Linux. An alternative is to use Userspa…
Queues are a widely deployed data structure. They are used extensively in many multi threaded applications, or as a communication mechanism between threads or processes. We propose a new linearizable multi-producer-multi-consumer queue we named Turn queue, with wait-free progress…
Modern hardware contains parallel execution resources that are well-suited for data-parallelism-vector units-and task parallelism-multicores. However, most work on parallel scheduling focuses on one type of hardware or the other. In this work, we present a scheduling framework th…
Computed Tomography (CT) Image Reconstruction is an important technique used in a variety of domains, including medical imaging, electron microscopy, non-destructive testing and transportation security. Model-based Iterative Reconstruction (MBIR) using Iterative Coordinate Descen…
Debugging intermittently occurring bugs within MPI applications is challenging, and message races, a condition in which two or more sends race to match with a receive, are one of the common root causes. Many debugging tools have been proposed to help programmers resolve them, but…
This paper explores how fork-join parallelism, as supported by concurrency platforms such as Cilk and OpenMP, can be embedded into a compiler's intermediate representation (IR). Mainstream compilers typically treat parallel linguistic constructs as syntactic sugar for function ca…
Task-based programming offers an elegant way to express units of computation and the dependencies among them, making it easier to distribute the computational load evenly across multiple cores. However, this separation of problem decomposition and parallelism requires a sufficien…
The most popular programming language in computer science has no compiler or interpreter. Its definition is not written down in any one place. It has changed a lot over the decades, and those changes have introduced ambiguities and inconsistencies. Today, dozens of variations are…
We describe a SIMD technique for drawing values from multiple discrete distributions, such as sampling from the random variables of a mixture model, that avoids computing a complete table of partial sums of the relative probabilities. A table of alternate ("butterfly-patterned") …
It's important to hit a space-time balance for a real-world algorithm to achieve high performance on modern shared-memory multi-core or many-core systems. However, a large class of dynamic programs with more than $O(1)$ dependency achieve optimality either in space or time, but n…
Fault tolerance is increasingly important in high performance computing due to the substantial growth of system scale and decreasing system reliability. In-memory/diskless checkpoint has gained extensive attention as a solution to avoid the IO bottleneck of traditional disk-based…
Record-and-replay systems are useful tools for debugging non-deterministic parallel programs by first recording an execution and then replaying that execution to produce the same access pattern. Existing record-and-replay systems generally target thread-based execution models, an…
A core, but often neglected, aspect of a programming language design is its memory (consistency) model. Sequential consistency~(SC) is the most intuitive memory model for programmers as it guarantees sequential composition of instructions and provides a simple abstraction of shar…
While hardware transactional memory (HTM) has recently been adopted to construct efficient concurrent search tree structures, such designs fail to deliver scalable performance under contention. In this paper, we first conduct a detailed analysis on an HTM-based concurrent B+Tree,…
This paper presents an algorithm based fault tolerance method to harden three two-sided matrix factorizations against soft errors: reduction to Hessenberg form, tridiagonal form, and bidiagonal form. These two sided factorizations are usually the prerequisites to computing eigenv…
No abstract available.
Massively multithreaded GPUs achieve high throughput by running thousands of threads in parallel. To fully utilize the hardware, workloads spawn work to the GPU in bulk by launching large tasks, where each task is a kernel that contains thousands of threads that occupy the entire…
This work considers the problem of availability for memory models that throw consistency exceptions. We define a new memory model called RIx based on isolation of synchronization-free regions and a new approach called Avalon that provides RIx. Our evaluation shows that Avalon and…