Proxics introduces lightweight virtual processors and low-latency communication channels as portable OS abstractions for programming near-data processing accelerators, demonstrated on real hardware for memory-intensive workloads.
Oliveira, and Onur Mutlu
3 Pith papers cite this work. Polarity classification is still indexing.
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Real-world PIM on UPMEM accelerates cryptographic algorithms when computation is distributed across multiple DRAM ranks, outperforming CPUs at full scale.
PIM-CACHE reduces mandatory coarse-grained transfers in UPMEM-style PIM by dynamically staging only non-redundant data via content-aware copy that exploits workload similarity.
citing papers explorer
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Proxics: an efficient programming model for far memory accelerators
Proxics introduces lightweight virtual processors and low-latency communication channels as portable OS abstractions for programming near-data processing accelerators, demonstrated on real hardware for memory-intensive workloads.
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Taking Cryptography Out of the Data Path via Near-Memory Processing in DRAM
Real-world PIM on UPMEM accelerates cryptographic algorithms when computation is distributed across multiple DRAM ranks, outperforming CPUs at full scale.
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PIM-CACHE: High-Efficiency Content-Aware Copy for Processing-In-Memory
PIM-CACHE reduces mandatory coarse-grained transfers in UPMEM-style PIM by dynamically staging only non-redundant data via content-aware copy that exploits workload similarity.