Latency hiding and performance tuning with graph-based execution

P Cicotti, SB Baden - 2011 First Workshop on Data-Flow …, 2011 - ieeexplore.ieee.org
In the current practice, scientific programmer and HPC users are required to develop code
that exposes a high degree of parallelism, exhibits high locality, dynamically adapts to the …

Latency Hiding and Performance Tuning with Graph-Based Execution

P Cicotti, SB Baden - Proceedings of the 2011 First Workshop on Data …, 2011 - dl.acm.org
In the current practice, scientific programmer and HPC users are required todevelop code
that exposes a high degree of parallelism, exhibits high locality, dynamically adapts to the …

Latency Hiding and Performance Tuning with Graph-Based Execution

P Cicotti, SB Baden - 2011 First Workshop on Data-Flow Execution Models … - infona.pl
In the current practice, scientific programmer and HPC users are required todevelop code
that exposes a high degree of parallelism, exhibits high locality, dynamically adapts to the …

[PDF][PDF] Latency Hiding and Performance Tuning with Graph-Based Execution

P Cicotti, SB Baden - cseweb.ucsd.edu
In the current practice, scientific programmer and HPC users are required to develop code
that exposes a high degree of parallelism, exhibits high locality, dynamically adapts to the …

[PDF][PDF] Latency Hiding and Performance Tuning with Graph-Based Execution

P Cicotti, SB Baden - scholar.archive.org
In the current practice, scientific programmer and HPC users are required to develop code
that exposes a high degree of parallelism, exhibits high locality, dynamically adapts to the …

[PDF][PDF] Latency Hiding and Performance Tuning with Graph-Based Execution

P Cicotti, SB Baden - bamboo.ucsd.edu
In the current practice, scientific programmer and HPC users are required to develop code
that exposes a high degree of parallelism, exhibits high locality, dynamically adapts to the …

[PDF][PDF] Latency Hiding and Performance Tuning with Graph-Based Execution

P Cicotti, SB Baden - cseweb.ucsd.edu
In the current practice, scientific programmer and HPC users are required to develop code
that exposes a high degree of parallelism, exhibits high locality, dynamically adapts to the …