Constrict
发表于 2025-3-21 18:17:33
书目名称Languages and Compilers for Parallel Computing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0581176<br><br> <br><br>书目名称Languages and Compilers for Parallel Computing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0581176<br><br> <br><br>书目名称Languages and Compilers for Parallel Computing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0581176<br><br> <br><br>书目名称Languages and Compilers for Parallel Computing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0581176<br><br> <br><br>书目名称Languages and Compilers for Parallel Computing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0581176<br><br> <br><br>书目名称Languages and Compilers for Parallel Computing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0581176<br><br> <br><br>书目名称Languages and Compilers for Parallel Computing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0581176<br><br> <br><br>书目名称Languages and Compilers for Parallel Computing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0581176<br><br> <br><br>书目名称Languages and Compilers for Parallel Computing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0581176<br><br> <br><br>书目名称Languages and Compilers for Parallel Computing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0581176<br><br> <br><br>
persistence
发表于 2025-3-21 22:41:16
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在驾驶
发表于 2025-3-22 03:47:27
ParFuse: Parallel and Compositional Analysis of Message Passing Programs static analysis techniques fail to interpret the message passing semantics of the MPI and lack the ability to optimize or check the message passing behaviors of MPI programs. In this paper, we introduce an abstraction for approximating the message passing behaviors of MPI programs that is more prec
fixed-joint
发表于 2025-3-22 08:14:17
Fast Approximate Distance Queries in Unweighted Graphs Using Bounded Asynchronyrol both the performance and error of the algorithm. This work is based on the .-level asynchronous (KLA) paradigm that trades expensive global synchronizations in the level-synchronous model for local synchronizations in the asynchronous model, which may result in redundant work. Instead of correct
Limerick
发表于 2025-3-22 10:01:07
Energy Avoiding Matrix Multiplyercome this inversion while remaining energy-efficient, we present a dynamic tiling scheme which we apply to solve the classic Matrix Multiply algorithm. The tiling scheme follows a Hilbert-Inspired Curve strategy to minimize data movement energy, while still allowing for slack and variance within t
nullify
发表于 2025-3-22 13:37:55
Language Support for Reliable Memory Regionslogies to adapt to the rapid evolution of architectures of supercomputing systems. The constraints of power have driven system designs to include increasingly heterogeneous architectures and diverse memory technologies and interfaces. Future systems are also expected to experience an increased rate
GROG
发表于 2025-3-22 17:22:23
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神化怪物
发表于 2025-3-23 00:27:29
Adaptive Software Caching for Efficient NVRAM Data Persistencef persistence. In particular, cache lines have to be flushed frequently to guarantee consistent, persistent program states. In this paper, we optimize data persistence by proposing a software cache. The software cache first buffers lines that need to be flushed, and then flushes them out at an appro
BYRE
发表于 2025-3-23 03:19:12
Polyhedral Compiler Technology in Collaboration with Autotuning Important to Domain-Specific Framewoual optimization strategies into software modules or (semi-)automated tools. In such frameworks, optimizations and optimization strategies capitalize on knowledge of the requirements of a particular application domain to achieve high performance and architecture portability. While many strategies ha
Vaginismus
发表于 2025-3-23 09:35:00
An Extended Polyhedral Model for SPMD Programs and Its Use in Static Data Race Detectionemplified by OpenMP for multicore systems and CUDA and OpenCL for accelerator systems. The basic idea behind the SPMD model, which makes it different from task-parallel models, is that all logical processors (worker threads) execute the same program with sequential code executed redundantly and para