Matches in SemOpenAlex for { <https://semopenalex.org/work/W2899127905> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2899127905 abstract "The efficient execution of Big Data applications requires a large quantity of compute and memory resources. Typically, these resources are in the form of data centres with numerous processing elements connected through a computer network. Although initially the majority of data centers were utilizing only CPU resources, nowadays we can find heterogeneous accelerators such as GPUs and FPGAs. Ideally, Big Data frameworks and applications should exploit those diverse hardware resources in order to push their performance boundaries or increase resource utilization. Despite ongoing work to enable such functionality, the majority of the solutions revolve around external libraries that provide pre-compiled kernels for heterogeneous accelerators. This fact imposes programmability and code fragmentation challenges that can only be addressed by enabling Big Data platforms to dynamically compile and execute their code on such devices. In this paper we analyze and discuss the major challenges for programming and executing Big Data processing applications on distributed systems with heterogeneous hardware. In addition, we present our work-in-progress towards providing a heterogeneous programming framework for running Big Data applications on systems that include diverse hardware resources including CPUs, GPUs, and FPGAs. In contrast to existing approaches, our envisioned solution employs JIT compilation and runtime support, integrated in the data flow engine, enabling the automatic acceleration of Big Data platforms completely transparently to the user and without sacrificing programmability." @default.
- W2899127905 created "2018-11-09" @default.
- W2899127905 creator A5015294945 @default.
- W2899127905 creator A5039782760 @default.
- W2899127905 creator A5049593939 @default.
- W2899127905 date "2018-12-01" @default.
- W2899127905 modified "2023-10-18" @default.
- W2899127905 title "Challenges and Proposals for Enabling Dynamic Heterogeneous Execution of Big Data Frameworks" @default.
- W2899127905 cites W1502544429 @default.
- W2899127905 cites W2060312180 @default.
- W2899127905 cites W2117036949 @default.
- W2899127905 cites W2133903497 @default.
- W2899127905 cites W2158951102 @default.
- W2899127905 cites W2173213060 @default.
- W2899127905 cites W2192204489 @default.
- W2899127905 cites W2486439025 @default.
- W2899127905 cites W2487200295 @default.
- W2899127905 cites W2548100623 @default.
- W2899127905 cites W2600423655 @default.
- W2899127905 cites W2752238980 @default.
- W2899127905 cites W2788975424 @default.
- W2899127905 cites W2889048510 @default.
- W2899127905 cites W303513970 @default.
- W2899127905 doi "https://doi.org/10.1109/cloudcom2018.2018.00070" @default.
- W2899127905 hasPublicationYear "2018" @default.
- W2899127905 type Work @default.
- W2899127905 sameAs 2899127905 @default.
- W2899127905 citedByCount "2" @default.
- W2899127905 countsByYear W28991279052019 @default.
- W2899127905 countsByYear W28991279052020 @default.
- W2899127905 crossrefType "proceedings-article" @default.
- W2899127905 hasAuthorship W2899127905A5015294945 @default.
- W2899127905 hasAuthorship W2899127905A5039782760 @default.
- W2899127905 hasAuthorship W2899127905A5049593939 @default.
- W2899127905 hasBestOaLocation W28991279052 @default.
- W2899127905 hasConcept C111919701 @default.
- W2899127905 hasConcept C118524514 @default.
- W2899127905 hasConcept C120314980 @default.
- W2899127905 hasConcept C149635348 @default.
- W2899127905 hasConcept C165696696 @default.
- W2899127905 hasConcept C169590947 @default.
- W2899127905 hasConcept C172430144 @default.
- W2899127905 hasConcept C199360897 @default.
- W2899127905 hasConcept C34165917 @default.
- W2899127905 hasConcept C38652104 @default.
- W2899127905 hasConcept C41008148 @default.
- W2899127905 hasConcept C42935608 @default.
- W2899127905 hasConcept C47487241 @default.
- W2899127905 hasConcept C75684735 @default.
- W2899127905 hasConcept C77088390 @default.
- W2899127905 hasConceptScore W2899127905C111919701 @default.
- W2899127905 hasConceptScore W2899127905C118524514 @default.
- W2899127905 hasConceptScore W2899127905C120314980 @default.
- W2899127905 hasConceptScore W2899127905C149635348 @default.
- W2899127905 hasConceptScore W2899127905C165696696 @default.
- W2899127905 hasConceptScore W2899127905C169590947 @default.
- W2899127905 hasConceptScore W2899127905C172430144 @default.
- W2899127905 hasConceptScore W2899127905C199360897 @default.
- W2899127905 hasConceptScore W2899127905C34165917 @default.
- W2899127905 hasConceptScore W2899127905C38652104 @default.
- W2899127905 hasConceptScore W2899127905C41008148 @default.
- W2899127905 hasConceptScore W2899127905C42935608 @default.
- W2899127905 hasConceptScore W2899127905C47487241 @default.
- W2899127905 hasConceptScore W2899127905C75684735 @default.
- W2899127905 hasConceptScore W2899127905C77088390 @default.
- W2899127905 hasLocation W28991279051 @default.
- W2899127905 hasLocation W28991279052 @default.
- W2899127905 hasOpenAccess W2899127905 @default.
- W2899127905 hasPrimaryLocation W28991279051 @default.
- W2899127905 hasRelatedWork W2005499723 @default.
- W2899127905 hasRelatedWork W2027068228 @default.
- W2899127905 hasRelatedWork W2075765568 @default.
- W2899127905 hasRelatedWork W2114354660 @default.
- W2899127905 hasRelatedWork W2148239174 @default.
- W2899127905 hasRelatedWork W2161839990 @default.
- W2899127905 hasRelatedWork W2462268631 @default.
- W2899127905 hasRelatedWork W2899127905 @default.
- W2899127905 hasRelatedWork W2999423666 @default.
- W2899127905 hasRelatedWork W4240400296 @default.
- W2899127905 isParatext "false" @default.
- W2899127905 isRetracted "false" @default.
- W2899127905 magId "2899127905" @default.
- W2899127905 workType "article" @default.