Parallel Pthread library (PPL): user-level thread library with parallelism and portability

Miyazaki, Teruki; Sakamoto, Chikara; Kuwayama, M.; Saisho, Keizo; Fukuda, Akira

doi:10.1109/cmpsac.1994.342788

Cited by 7 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…-We extend the debugger for multi-threaded memory issues in [27] with support for the LLDB 8 debugger used in Mac OS. Also the tool can be used to debug and detect concurrency issues in thread models (pthreads [36], BOOST [37] and INTEL's TBB [38]) in addition to the classical debug support of GDB [39] and LLDB 8 . The Memory tool [28] helps the developer to track the memory leak or corruption at runtime.…”

Section: Sprint Development Assistancementioning

confidence: 99%

Tool assisted Agile approach for Legacy application Migration

Chatterjee,

Majumdar,

Das

et al. 2024

Preprint

View full text Add to dashboard Cite

Many organizations rely on legacy applications for critical business pro- cesses, even though it incurs a huge cost due to obsolete hardware, software, compiler and the like. Replacing the business critical legacy requires extensive expertise to understand business requirements, esti- mate and test coupled with high cost. To ensure a strict cost budget of legacy migration projects, migration specialists need assistance to understand the facts of the legacy application component in a short span of time to estimate and deliver the target components. Avail- able program assistance tools do not address the needs to migrate the legacy applications. We have designed an effective framework to extract the run-time behaviour of the legacy application like function point, complexity, memory accesses and the like so as to estimate the scope and requirements of an application. The framework contains support to comprehend existing legacy applications, develop and test the target application with business-rules, non-functional requirements (NFR), test data, etc. Then we have proposed a tool assisted Agile way-of-working principles by augmenting our tool-set to migrate the legacy application quickly and effciently. The target components can also be validated co- existentially by exchanging live data with the existing legacy. Designed toolset is built on an open-source dynamic instrumentation framework and can be plugged to a wide variety of run-time environments.

show abstract

Section: Sprint Development Assistancementioning

confidence: 99%

Tool assisted Agile approach for Legacy application Migration

Chatterjee,

Majumdar,

Das

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Several lightweight, user-level threads packages have been developed [44,6,30,28,2,10,26,31], which include implementations of the POSIX standard threads or Pthreads API [24]. Pthreads are now becoming a popular standard for expressing parallelism in the shared memory programming model.…”

Section: Introductionmentioning

confidence: 99%

Pthreads for Dynamic Parallelism,

Narlikar¹,

Blelloch²

1998

View full text Add to dashboard Cite

Expressing a large number of lightweight, parallel threads in a shared address space significantly eases the task of writing a parallel program. Threads can be dynamically created to execute individual parallel tasks; the implementation schedules these threads onto the processors and effectively balances the load. However, unless the threads scheduler is designed carefully, such a parallel program may suffer poor space and time performance. In this paper, we evaluate the performance of a native, lightweight POSIX threads (Pthreads) library on a shared memory machine using a set of parallel benchmarks that dynamically create a large number of threads. By studying the performance of one of the benchmarks, matrix multiply, we show how simple, yet provably good modifications to the library can result in significantly improved space and time performance. With the modified Pthreads library, each of the parallel benchmarks performs as well as its coarse-grained, hand-partitioned counterpart. These results demonstrate that, provided we use a good scheduler, the rich functionality and standard API of Pthreads can be combined with the advantages of dynamic, lightweight threads to result in high performance. This research is supported by ARPA Contract No. DABT63-96-C-0071. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes, notwithstanding any copyright notation thereon. Views and conclusions contained in this document are those of the author and should not be interpreted as representing the official policies, either expressed or implied, of ARPA or the U.S. Government.

show abstract