West Africa International Centers of Excellence for Malaria Research: Drug Resistance Patterns to Artemether-Lumefantrine in Senegal, Mali, and The Gambia.

In 2006, artemether-lumefantrine (AL) became the first-line treatment of uncomplicated malaria in Senegal, Mali, and the Gambia. To monitor its efficacy, between August 2011 and November 2014, children with uncomplicated Plasmodium falciparum malaria were treated with AL and followed up for 42 days. A total of 463 subjects were enrolled in three sites (246 in Senegal, 97 in Mali, and 120 in Gambia). No early treatment failure was observed and malaria infection cleared in all patients by day 3. Polymerase chain reaction (PCR)-adjusted adequate clinical and parasitological response (ACPR) was 100% in Mali, and the Gambia, and 98.8% in Senegal. However, without PCR adjustment, ACPR was 89.4% overall; 91.5% in Mali, 98.8% in Senegal, and 64.3% in the Gambia (the lower value in the Gambia attributed to poor compliance of the full antimalarial course). However, pfmdr1 mutations were prevalent in Senegal and a decrease in parasite sensitivity to artesunate and lumefantrine (as measured by ex vivo drug assay) was observed at all sites. Recrudescent parasites did not show Kelch 13 (K13) mutations and AL remains highly efficacious in these west African sites

Premiers résultats de comparaison des outils oneAPI et OpenCL pour la convolution 2D sur FPGA

International audience-Grâce aux outils de synthèse de haut niveau (HLS), les FPGA sont devenus une alternative aux GPU pour les applications à forte intensité de calcul. Ces outils ont été développés pour offrir une certaine flexibilité dans la conception des FPGA à un niveau d'abstraction plus élevé par rapport aux langages de description matérielle. Les principaux fabricants de FPGA ont proposé de nombreux outils HLS en fonction du public cible. Ce papier s'attache à comparer les outils HLS oneAPI et OpenCL en termes de performance et de productivité avec comme cas d'étude l'accélération de l'opérateur de convolution 2D. Pour des mêmes types d'optimisations (déroulage de boucle, utilisation de la mémoire locale), les performances obtenues pour les deux outils y sont présentées

FPGA implementation of 2D Convolution using OneAPI and OpenCL

International audienceThanks to High-Level Synthesis (HLS) tools, FPGAs have become an alternative to GPUs for compute-intensive applications. These tools have been developed to provide flexibility in FPGA design at a higher abstraction level than hardware description languages. Major FPGA manufacturers have proposed many HLS tools depending on the target audience. In this paper, we propose a hardware architecture on FPGA for 2D convolution designed through two software-like development tools based on oneAPI and OpenCL languages. This paper also focuses on comparing the oneAPI and OpenCL HLS tools in terms of performance and productivity with the case study of the 2D convolution operator using an Intel Stratix 10 device

Memory prefetching for tomography acceleration on FPGAs through HLS tools

International audienceBackward projection is one of the most timeconsuming steps in method-based iterative reconstruction computed tomography. The 3D back-projection memory access pattern is potentially enough to efficiently exploit the computation power of acceleration boards based on GPU or FPGA. However, exploiting the full potential of these architectures has always been a major concern. Therefore, an algorithm architecture co-design approach is necessary to harness these parallel architectures sufficiently. This paper proposes an OpenCL acceleration of the voxel-driven 3D backprojection algorithm on an Arria 10 FPGA. We perform an offline study of the algorithm memory access pattern to prefetch sinogram data to the on-chip BRAM before performing reconstruction

FPGA implementation of 2D Convolution using OneAPI and OpenCL

International audienceThanks to High-Level Synthesis (HLS) tools, FPGAs have become an alternative to GPUs for compute-intensive applications. These tools have been developed to provide flexibility in FPGA design at a higher abstraction level than hardware description languages. Major FPGA manufacturers have proposed many HLS tools depending on the target audience. In this paper, we propose a hardware architecture on FPGA for 2D convolution designed through two software-like development tools based on oneAPI and OpenCL languages. This paper also focuses on comparing the oneAPI and OpenCL HLS tools in terms of performance and productivity with the case study of the 2D convolution operator using an Intel Stratix 10 device

FPGA implementation of 2D Convolution using OneAPI and OpenCL

International audienceThanks to High-Level Synthesis (HLS) tools, FPGAs have become an alternative to GPUs for compute-intensive applications. These tools have been developed to provide flexibility in FPGA design at a higher abstraction level than hardware description languages. Major FPGA manufacturers have proposed many HLS tools depending on the target audience. In this paper, we propose a hardware architecture on FPGA for 2D convolution designed through two software-like development tools based on oneAPI and OpenCL languages. This paper also focuses on comparing the oneAPI and OpenCL HLS tools in terms of performance and productivity with the case study of the 2D convolution operator using an Intel Stratix 10 device

Premiers résultats de comparaison des outils oneAPI et OpenCL pour la convolution 2D sur FPGA

International audience-Grâce aux outils de synthèse de haut niveau (HLS), les FPGA sont devenus une alternative aux GPU pour les applications à forte intensité de calcul. Ces outils ont été développés pour offrir une certaine flexibilité dans la conception des FPGA à un niveau d'abstraction plus élevé par rapport aux langages de description matérielle. Les principaux fabricants de FPGA ont proposé de nombreux outils HLS en fonction du public cible. Ce papier s'attache à comparer les outils HLS oneAPI et OpenCL en termes de performance et de productivité avec comme cas d'étude l'accélération de l'opérateur de convolution 2D. Pour des mêmes types d'optimisations (déroulage de boucle, utilisation de la mémoire locale), les performances obtenues pour les deux outils y sont présentées