The Near Memory Processor (NMP) is a multithreaded vector processor integrated with the memory controller. The NMP works subordinately upon requests from the main processors. The NMP is complementary to the conventional superscalar processors and it is optimized for the bandwidth bounded applications and bit manipulation workloads. A program addressable memory in the NMP, Scratchpad provides an effectively large register set to hold vectors, streams and frequently accessed values. Avoiding saving and restoring the vector registers during context switch, the scratchpad reduces the overhead of the multithreading and enables a simple NMP architectural design. We design an instruction set that includes vector, streaming and bit manipulation ins...
The Hewlett-Packard X- and V-Class ccNUMA systems appear well suited to exploiting coarse and fine-g...
Vector processing has become commonplace in today's CPU microarchitectures. Vector instructions impr...
This paper focuses on a review of state-of-the-art memory designs and new design methods for near-th...
The Near Memory Processor (NMP) is a multithreaded vector processor integrated with the memory contr...
Many important scientific and engineering applications execute sub-optimally on current commodity pr...
100 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.In the architectural aspect, ...
Real-world applications are now processing big-data sets, often bottlenecked by the data movement be...
The increasing demand for extracting value out of ever-growing data poses an ongoing challenge to sy...
Real-world applications are now processing big-data sets, often bottlenecked by the data movement be...
The Vector Processor is a Single-Instruction Multiple-Data (SIMD) parallel processing system based o...
The cost of transferring data between the off-chip memory system and compute unit is the fundamental...
NERSC procurement depends on application benchmarks, in particular the NERSC SSP. Machine vendors ar...
Near-memory Computing (NMC) promises improved performance for the applications that can exploit the ...
This paper presents an experimental study on cache memory designs for vector computers. We use an ex...
Sustained memory throughput is a key determinant of performance in HPC devices. Having an accurate ...
The Hewlett-Packard X- and V-Class ccNUMA systems appear well suited to exploiting coarse and fine-g...
Vector processing has become commonplace in today's CPU microarchitectures. Vector instructions impr...
This paper focuses on a review of state-of-the-art memory designs and new design methods for near-th...
The Near Memory Processor (NMP) is a multithreaded vector processor integrated with the memory contr...
Many important scientific and engineering applications execute sub-optimally on current commodity pr...
100 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.In the architectural aspect, ...
Real-world applications are now processing big-data sets, often bottlenecked by the data movement be...
The increasing demand for extracting value out of ever-growing data poses an ongoing challenge to sy...
Real-world applications are now processing big-data sets, often bottlenecked by the data movement be...
The Vector Processor is a Single-Instruction Multiple-Data (SIMD) parallel processing system based o...
The cost of transferring data between the off-chip memory system and compute unit is the fundamental...
NERSC procurement depends on application benchmarks, in particular the NERSC SSP. Machine vendors ar...
Near-memory Computing (NMC) promises improved performance for the applications that can exploit the ...
This paper presents an experimental study on cache memory designs for vector computers. We use an ex...
Sustained memory throughput is a key determinant of performance in HPC devices. Having an accurate ...
The Hewlett-Packard X- and V-Class ccNUMA systems appear well suited to exploiting coarse and fine-g...
Vector processing has become commonplace in today's CPU microarchitectures. Vector instructions impr...
This paper focuses on a review of state-of-the-art memory designs and new design methods for near-th...